Software Engineering Mts jobs at Salesforce in United States, Palo Alto

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Job Details

You will be working cross-functionally with engineers, architects, and product managers to build the breakthrough features that our internal customers will love, adopt and use while ensuring stable and scalable applications. You will also be working with data scientists to innovate and deliver distributed backend technologies, sometimes including big data technologies. You'll be a part of a modern, lean, self-governing product engineering team where you have the ability to switch hats between coding to requirements gathering, to testing for quality and performance.

CECM develops intelligent,

We are looking for a Lead Engineer who can drive our strategy for optimizing cost efficiency and improving utilization across all of the Salesforce services. You will not only provide visibility into opportunities to improve availability, but also work with multiple service owners to help and guide delivering on those optimizations.

Your Responsibilities

• Drive capacity visibility and automation improvements across multiple services at Salesforce

• Lead software development being delivered by multiple engineers

• Lead and participate in requirement gathering, design, and development of complex systems

• Independently design and deliver analytics tools and frameworks for diverse users, including other engineers, data scientists, and domain experts

• Mentor team members in all aspects of the software development lifecycle

• Master our code base, then improve it

• Build resilient, automated systems and assessing and integrating best-in-class technologies when appropriate

Required Skills

• Bachelor’s degree in Computer Science and 8+ years of experience, or equivalent industry experience

• Deep knowledge of two or more functional or scripting programming languages: Python, Scala, or equivalent

• Experience operating time-series forecasting, anomaly detection and AI integrated products in production environments

• Extensive experience working with Data Scientists and operating ML models in production services

• Understanding of Data Science, Machine Learning and AI concepts

• Extensive experience with distributed services (REST, rpc or similar APIs) and relational databases (Postgres or similar)

• Experience with orchestration and workflow management tools, i.e. Airflow

• Experience with distributed compute platforms like Trino or Spark

• Experience with Agile development methodology, Test-Driven Development, incremental delivery, and CI/CD

• Experience owning and operating services throughout the software development lifecycle including design, development, release and maintenance.

• Experience communicating technical vision, mentoring junior engineers and managing projects.

Specialization in one of the following areas:

• Interest infrontend/visualizationdevelopment (Tableau, JavaScript)

• Experienced in infrastructure automation and cloud platforms: AWS, Azure, or GCP

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Posting Statement

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Job Details

As a Lead Engineer at Salesforce, you will design and develop our mobile platform -- a platform on which the world's leading brands and retailers are building their mobile apps and powering commerce on social media. You will play an integral role in shaping the direction of our product and bringing new features to market.

Salesforce/PredictSpringMobile Platform Development includes requirements analysis, design of features, implementation for iOS platform, testing, and delivery.

Requirements:

• Passion for building user-friendly Mobile apps

• Proficiency in Mobile Platforms and tools: Swift, iOS and related tools

• Good communications and documentation skills

• Strong problem solving and analytical skills.

• Self Driven and motivated to deliver more with minimal input

• A related technical degree required

• Experience in Point of Sale is a plus

Responsibilities:

• Analyze Brand/Customer needs and software requirements to determine feasibility of new features with the constraints of flexibility, dynamic plug/play design, and performance

• Design, develop and modify software by working with Product Managers and VP of Engineering to enable mobile features with the enterprise software goals of performance, ease of use, and User experience

• Design the User interface for the mobile application for phones and tablets

• Co-Design the server side APIs and data models with the help of backend Java feature teams

• Document the APIs, design, and feature documentation for the use by customers, testers, and designers

• Implement the design in iOS/Android platform in a fast paced iterative model of development

• Test the feature end to end with the backend systems to make sure the feature is fully functional with minimum regression on the existing feature set.

• Fix defects in the existing mobile features

• Maintain the functionality and backward compatibility of mobile platform features with the new and older versions of platform OSes.

• Manage Mobile App distribution for iOS

• Automate the testing and write unit tests for the functionality being worked on

• Work with customers on educating them on the platform features, designing the customer friendly user experience, and collaborate with designers.

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Posting Statement

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Job Details

You will build tools that help build and test AI agents that will be used by thousands of end users, delivering value with AI automation. Our software engineers ship applications written in the enterprise Java stack on the core platform and on our Agentforce platform. We work in a highly collaborative environment, and you will liase with a highly cross functional team comprised of Software Engineers, Machine learning engineers, UX experts, product managers to build AI Agent tooling. We value execution, clear communication, in person collaboration, and making learning fun.As part of this role, you will:

• Design, implement, test and deliver highly scalable application code

• Build on top of the Agentforce platform, delivering true next-generation AI Agent tools

• Master our development process, platform, culture and code base, then improve it

• Present your own designs to internal/external groups and review designs of others

• Develop test strategies, design automation frameworks, write unit/functional tests to drive up code coverage and automation metrics

• Participate in the team’s on-call rotation to address sophisticated problems in real-time and keep services operational and highly available

• Troubleshoot production issues.

Required Skills:

• 4+ years of professional software development experience

• Deep knowledge of object oriented programming and experience with at least one object oriented programming language preferably Java

• Expertise in developing software for Generative AI applications

• Beginners mindset with proven experience shipping quick turnaround incubation projects

• High proficiency in at least one high-level programming language and web framework (NodeJS, Express, Hapi, etc.)

• Proven understanding of web technologies, such as JavaScript, CSS, HTML5, XML, JavaScript, JSON, and/or Ajax

• Validated understanding of Database technologies such as SQL, PL/SQL and relational database schema design

• Experience in automated testing including unit and functional testing using Java, JUnit, JSUnit, Selenium

Preferred Skills:

• Bachelor's degree in Computer Science or equivalent field

• Prior experience in prompt engineering, multi-agent interaction or Task planning with LLM based agents

• Solid experience in fullstack software development, including UI tier, API development, metadata management, and/or client SDKs development

• Experience with Agile software development and test-driven development.

• Ability to support/resolve production customer escalations with excellent debugging and problem solving skills

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Posting Statement

does not accept unsolicited headhunter and agency resumes.

Job Category

Job Details

Job Duties

Minimum Requirements: Master’s degree (or its foreign degree equivalent) in Computer Science, Engineering (any field), or a related quantitative discipline, and six (6) months of experience in the job offered or in any occupation in related field.

A related technical degree required (Computer Science, Engineering (any field)).

Special Skill Requirements: 1) Golang; (2) Java; (3) Python; (4) Javascript; (5) HTML; (6) Flask; (7) Terraform; (8) Vault; (9) Helm; (10) Kubernetes; (11) AWS; (12) Docker; (13) Jenkins; (14) Splunk; (15) MongoDB. Any suitable combination of education, training and/or experience is acceptable.

: $172,931.00 - $188,600.00 per annum.

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Posting Statement

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Job Details

As a Software Engineer on the Einstein RAG team, you'll play a key role in designing, implementing, and maintaining large-scale distributed systems that integrate deep learning models, retrieval pipelines, and enterprise data. You'll work across the AI stack—from building microservices and data pipelines to enabling real-time inference and document retrieval using modern ML techniques. You’ll partner with ML engineers, product managers, and researchers to operationalize LLMs and RAG services for production use at scale.

• Design and build robust, scalable RAG systems that serve thousands of tenants and integrate with multiple Salesforce applications.
• Develop high-performance distributed systems for knowledge retrieval, document ranking, and grounding LLMs in structured and unstructured enterprise data.
• Build scalable APIs, microservices, and orchestration layers to support multi-stage RAG pipelines.
• Drive automation for deployment, monitoring, performance tuning, and root cause analysis.
• Collaborate with ML and AI platform teams to productionize retrieval services and integrate vector databases, embeddings, and search infrastructure.
• Ensure reliability, security, and performance of AI-backed systems in real-time, multi-tenant environments.
• Participate in on-call rotations and be a key player in debugging live issues and ensuring high availability.

• 5+ years of experience building and maintaining large-scale distributed systems, data-intensive applications, or cloud-native services.
• Proficiency in system design, microservices architecture, and cloud-native tools (Docker, Kubernetes, etc.).
• Strong programming skills in Python and/or Java, with a deep understanding of system-level performance.
• Experience building scalable data pipelines using Kafka, Spark, Flink, or similar frameworks.
• Deep understanding of modern data storage, indexing, and retrieval frameworks (e.g., Elasticsearch, Redis, Hadoop, Cassandra).
• Familiarity with LLMs, embeddings, and retrieval-based architectures (e.g., RAG, vector search).
• Proven ability to take projects from ideation to production, with a strong bias for execution.
• Solid understanding of API design, versioning, and deployment in high-availability environments.

• Experience integrating vector databases (e.g., FAISS, Weaviate, Pinecone) into production systems.
• Familiarity with prompt engineering, LLM fine-tuning, and hybrid retrieval architectures.
• Strong foundation in NLP, machine learning, or information retrieval.
• Experience working with unstructured data at scale, including document processing and semantic search.
• Background in observability, performance profiling, and scalable service infrastructure.
• Exposure to MLOps tools and CI/CD workflows for ML/AI systems.
• Prior work with generative AI or conversational AI systems in enterprise settings.
• Excellent communication and collaboration skills, with the ability to influence across engineering and product teams.

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Posting Statement

Job Category

Job Details

Job Duties

Minimum Requirements: Master’s degree (or its foreign degree equivalent) in Computer Science, Engineering (any field), or a related quantitative discipline, and two (2) years of experience in the job offered or in any occupation in related field.

A related technical degree required (Computer Science, Engineering).

Special Skill RequirementsOne (1) year of experience using these special skills:(1) AWS, (2) Azure, (3) GCP, (4) Databricks, (5) BigQuery, (6) RabbitMQ, (7) Docker, (8) Jenkins, (9) NodeJS, (10) ReactJS. Any suitable combination of education, training and/or experience is acceptable.

: $172,931.00 - $247,750.00 per annum.

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Posting Statement

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Job Details

Job Duties: Design and code platforms to build the next generation analytics platform to form SQL queries from semantically expressive queries. Provide solutions and APIs for the platform which are expressive of the needs of multiple interfaces for applications. Build dynamic plans for joins and queries and interfaces with Salesforce data cloud for retrieving the necessary data efficiently. Find out potential issues faced by other engineers, unblock them with proposed solutions and enable the team to perform effectively. Collaborate with engineers, product managers, designers, and technical writers to gather and prioritize features and requirements. Contribute to code reviews, designs, and team processes. Play a key role in evolving our codebase by writing clean, efficient and maintainable code which must be well-tested. Troubleshoot issues in technically challenging code (Java) using centralized logs, post mortem debugging, diagnostic tools and other techniques.

Minimum Requirements: Master’s degree (or its foreign degree equivalent) in Computer Science, Entertainment Technology, Engineering (any field), or a related quantitative discipline, and two (2) years of experience in the job offered or in any occupation in related field, OR Bachelor’s degree (or its foreign degree equivalent) in Computer Science, Entertainment Technology, Engineering (any field), or a related quantitative discipline, and five (5) years of progressively responsible experience in the job offered or in any occupation in related field.

Special Skill Requirements

: $226,158.00 - $334,600.00 per annum.

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Posting Statement