11+ System migration Jobs in Bangalore (Bengaluru) | System migration Job openings in Bangalore (Bengaluru)

Title: Salesforce Solution Architect (Classic to Lightning Migration)

Summary:

We are seeking a Salesforce Solution Architect to lead AvalonBay’s transition from Salesforce Classic to Lightning. This role is responsible for designing scalable, user-friendly solutions using native Salesforce capabilities, reducing custom technical debt, and enabling a unified associate experience across resident services and call center teams.

Key Responsibilities:

● Own the end-to-end migration strategy from Classic to Lightning.

● Redesign data model (replace custom objects with standard Lead/Opportunity where

applicable).

● Configure Lightning features: Dynamic Forms, Lightning Pages, Flows, Omni-Channel.

● Recommend and implement AppExchange solutions where needed.

● Collaborate with developers, admins, and QA to deliver incremental releases.

● Ensure compliance with security, profiles, and permission sets.

● Act as the trusted advisor to stakeholders for Salesforce roadmap planning.

Qualifications:

● 6+ years Salesforce experience, with at least 3+ in Lightning implementations.

● Expertise in Service Cloud, Marketing Cloud, case management, and digital engagement.

● Proven experience with Classic-to-Lightning migration projects.

● Strong understanding of low-code/no-code capabilities (Flows, Dynamic Actions).

● Salesforce Certified Application/Solution Architect (preferred).

● Excellent communication and stakeholder management skills.

Location: Bangalore

Experience: 3-5 years

Type: Full-time | On-site

Start: Immediate

Why this role exists

Most companies are using LLMs.

Very few are building an advantage from them.

Right now, LLM cost is our largest margin constraint, and model behavior is still too generic to be defensible.

This role exists to:

• Turn LLM usage into a cost-efficient system
• Build compounding intelligence across accounts
• Create a differentiated analysis layer that competitors can’t replicate

What you’ll do

You will not just build models.

You will own the intelligence and cost structure of the platform.

1. Drive down LLM cost dramatically

• Reduce cost per interaction from ₹40 → ₹2 within 6 months
• Implement:
• Model tiering (right model for the right task)
• Caching strategies (semantic + response caching)
• Batching and async processing
• PTU / reserved capacity optimization
• Ensure performance does not degrade while reducing cost

2. Optimize infrastructure spend

• Reduce cloud spend from ₹20L/month → ₹4L/month
• Work across infrastructure layers (Azure / compute / inference)
• Balance:
• Latency
• Cost
• Throughput
• Treat infra as a first-class optimization problem

3. Build the fine-tuning and learning pipeline

• Design systems where:
• Every interaction improves future performance
• Build pipelines for:
• Fine-tuning
• Feedback loops
• Continuous model improvement
• Ensure the 5th customer deployment is structurally better than the 1st

4. Create a differentiated intelligence layer

• Build analysis systems that:
• Extract signals from interactions
• Improve decision-making
• Drive outcome improvements
• Move beyond responses → insight + action

5. Enable new AI-native product categories

• Identify opportunities where:
• AI enables workflows that were not previously possible
• Build foundational ML capabilities to unlock those categories
• Focus on creation, not just efficiency

6. Commoditize LLM usage internally

• Abstract complexity of LLM usage from product teams
• Build internal systems where:
• Cost is predictable
• Performance is consistent
• Make LLM usage a reliable utility layer

What success looks like

• Cost per interaction drops to ₹2 or lower
• Infrastructure spend reduces 5x without performance loss
• Model performance improves with every deployment
• Platform develops a clear intelligence advantage
• New AI-native capabilities become possible due to your systems

Who you are

• You have 3-5 years of experience in ML / applied AI / systems engineering
• You have worked with:
• LLMs
• Inference optimization
• Production ML systems
• You think in:
• Systems
• Trade-offs (cost vs latency vs quality)
• You care about real-world impact, not just model metrics

What will make you stand out

• Experience with:
• LLM optimization (prompting, fine-tuning, distillation)
• Distributed systems or infra-level optimizations
• High-scale inference systems
• Built systems that:
• Reduced cost significantly
• Improved performance over time
• Strong understanding of:
• Caching strategies
• Model routing
• Evaluation frameworks

Why join

• You will directly impact company margins and scalability
• Your work defines whether we have a defensible ML advantage
• You will build systems that move from:
• Generic AI usage → compounding intelligence

What this role is not

• Not research-only
• Not experimentation without production impact
• Not isolated from product and business outcomes

What this role is

• A builder of ML systems at scale
• A driver of cost and performance optimization
• A creator of long-term competitive advantage

One question to self-evaluate

Can you build ML systems that get cheaper, smarter, and more valuable with every interaction?

Talented C++ Developer who has experience in design, development, debugging of multi-threaded large scale application with good understanding in data structures on Linux packaging, functional testing and deployment automation very good with problem solving.

Key responsibilities :

1. Understand fundamental design principles and best practices for developing backend servers and web applications
2. Gather requirements, scope functionality, estimate and translate those requirements into solutions
3. Implement and integrate software features as per requirements
4. Deliver across the entire app life cycle
5. Work in a product creation project and/or technology project with implementation or integration responsibilities
6. Improve an existing code base, if required, and ability to read source code to understand data flow and origin
7. Design effective data storage for the task at hand and know how to optimize query performance along the way
8. Follow an agile methodology of development and delivery
9. Strictly adhere to coding standards and internal practices; must be able to conduct review code
10. Mentor and possibly lead junior developers
11. Contribute towards innovation
12. Performance optimization of apps
13. Explain technologies and solutions to technical and non-technical stakeholders
14. Diagnose bugs and other issues in products
15. Continuously discover, evaluate, and implement new technologies to maximize development efficiency

Must have / Good to have:

1. 5-7years' experience with C++ development and relevant 3+yrs in modern version 11/14/17 would be a plus. 
2. Design and implementation of high-availability, and performance applications on Linux environment
3. Advanced knowledge of C/C++, Object Oriented Design, STL
4. Good with multithreading and data structures
5. Develop back-end components to improve responsiveness and overall performance
6. Familiarity with database design, integration with applications and python packaging.
7. Familiarity with front-end technologies (like JavaScript and HTML5), REST API, security considerations
8. Familiarity with functional testing and deployment automation frameworks
9. Experience in development for 3-4 production ready application using C++ as programming language
10. Experience in writing unit test cases including positive and negative test cases
11. Experience of CI/CD pipeline code deployment (Git, SVN, Jenkins or Teamcity)
12. Experience with Agile and DevOps methodology
13. Very good problem-solving skills
14. Experience with Web technologies is a plus. 

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About us:

Arista Networks was founded to pioneer and deliver software driven cloud networking solutions for large datacenter storage and computing environments. Arista's award-winning platforms, ranging in Ethernet speeds from 10 to 400 gigabits per second, redefine scalability, agility and resilience. Arista has shipped more than 20 million cloud networking ports worldwide with CloudVision and EOS, an advanced network operating system. Committed to open standards, Arista is a founding member of the 25/50GbE consortium. Arista Networks products are available worldwide directly and through partners.

About this role:

• You will be working with the WiFi team at Arista, developing cutting edge and next generation WiFi solutions in a fast-paced environment. The WiFi team is responsible for the end to end development of the Cloud managed WiFi product portfolio of Arista. This specific position is for the WiFi AccessPoint team.
• As a core member of the AccessPoint team, you will be working closely with relevant teams to understand product requirements, design the solution, build the software and deliver it for final validation and customer deployment.
• You will also keep track of new and emerging technologies and their impact on Arista products, come up with new and innovative ideas to improve and differentiate the product and help Arista become a leading player in the Campus space.
• You will work closely with sales and support teams to push new solutions, understand customer needs and pain points and help resolve escalations.
• You will not be limited to a single aspect of the product, it will be broad encompassing many different aspects including but not limited to developing new Access Points, designing and implementing new features, tracking new technologies and working closely with the sales and customer teams.

Requirements:

• Strong engineering and Computer Science fundamentals

• Expected to have a strong background in software development and good understanding of systems and networking areas with the knowledge of the WiFi area as an added bonus.

• Minimum 4+ years of relevant experience

• Well versed with programming in one of C/C++ languages

• Experience working in a Linux environment, developing applications or Linux drivers

• Proven experience in any of the below:

1. Network device drivers, operating system internals, Kernels, compilers, SOC architecture
2. Experience in developing Wi-Fi features (802.11), WLAN MAC Protocol, system integration, evaluate various performance parameters.
3. User space development for connectivity related products (Wireless Lan access points/ controllers, networking equipment) in one or more of following areas:

• HostAPD, Portal, RADIUS, AAA, Identity and role management, Radsec

• Tunnels, Firewall, Iptables, Flow Classification, QoS, TLS, DTLS Preferred Skills

• Experience with Wi-Fi device drivers on Linux.

• Hands-on experience in working with one or more WIFI chipset platforms

• Good System Level understanding of the Wireless AP functionality

• Experience in developing Wi-Fi features, system integration, evaluate various performance parameters

Resources:

• Arista Cognitive WiFi : https://www.arista.com/en/products/cognitive-wifi https://youtu.be/cT1INdR-xHQ https://www.youtube.com/watch?v=olPkCOT3MdA
• Arista Cognitive WiFi Datasheet: https://www.arista.com/assets/data/pdf/Datasheets/CloudVision-Wifi-Datasheet.pdf
• Arista's Approach to Software with Ken Duda (CTO): https://youtu.be/TU8yNh5JCyw
• Additional information and resources can be found at https://www.arista.com/en/

Relevant experience: 2-3 years

Responsibilities:

1. Should be good at, C, C++, Linux driver development
2. Should have worked in protocol like i2S, SPI, i2C. rf, 6lowpan, Tcp / Ip stack etc..
3. Experience in porting MbedOS , FreeRTOS to different boards is good.
4. Analyzing and enhancing efficiency, stability and scalability of system resources
5. Design, develop, code, test and debug system software
6. Provide post production support
7. Interface with hardware design and development

Requirements:

1. Proven working experience in software engineering
2. Experience in hands-on development and troubleshooting on embedded targets
3. Solid programming experience in C or C++
4. Adequate knowledge of reading schematics and data sheets for components
5. Strong documentation and writing skills

Note: Self-motivated, goal oriented and good analytical skills.

• Experience of a hardware life cycle, ie architecture, design, production+testing to field deployment of at least one hardware product.
• Understanding and working experience of C language with data structures.
• Ability to read the hardware/ functional/ register specs.
• Very good in debugging skills (using dumps, traces, and debuggers).
• Well, verse with Linux operating system (i. e. build environment, Make files, configuration management, shell scripting).
• Experience with PCB level design, and ability to design or review schematics and layouts
• Experience in any wireless networking chipset.
• Automotive/Industrial electronic systems design/validation
• Familiarity with operating system concepts like memory management, process scheduling, synchronization methods.
• Hands-on experience with any real-time operating system.
• Basic understanding of analog (ADCs, sensors, etc) and digital circuits.
• Prior experience in IoT startups.

• Develop embedded Linux Applications
• Work with a worldwide team to integrate the product to meet the requirement

Required Qualifications:

• Degree in Computer Science from a top-tier institution
• Relevant full-time work experience of 4+years
• Strong foundation in computer science, Object-Oriented software, unit testing & test automation with scripts
• Ability to self-teach.

Mandatory Technical Skills:

• Expert level programming in C/C++
• Linux systems programming, data structures & algorithms
• Networked applications

Desirable Technical Skills:

• Linux Board Bring up, device drivers would be an advantage