Lead Software Engineer- Salesforce

Hackajob; Kolkata District, Hyderabad, Delhi; Hybrid; INR 900,000 - 1,800,000; Full time

Job summary

Hackajob in India seeks an experienced Salesforce architect to design scalable, secure solutions across Sales and Service Clouds. You will lead Apex/LWC/JavaScript development, integrate external systems via REST and SOAP APIs, and promote AI-assisted engineering practices to raise code quality and delivery speed.

Join a fast-growing team implementing CI/CD pipelines, secure coding standards, and agile methodologies while mentoring engineers on responsible AI usage and secure deployment patterns.

Qualifications

• Formal training or certification on software engineering concepts.
• 10+ years of proven ability to architect scalable, secure and high-performance Salesforce solutions.
• Advanced hands-on development skills in Apex, LWC and JavaScript, with experience across Sales and Service Clouds.
• Expertise in implementing complex integrations between Salesforce and external systems using REST and SOAP APIs.
• Demonstrated experience leading effective use of approved AI-assisted software development tools with the ability to set team expectations for validating AI outputs for correctness, performance, and security.
• Strong understanding of responsible AI use in engineering workflows, including data sensitivity considerations and secure handling of inputs/outputs.
• Experience in implementing and optimizing CI/CD pipelines for Salesforce deployments.
• Deep understanding of Salesforce security, data modeling and platform best practices.
• Advanced understanding of agile methodologies such as CI/CD, Application Resiliency, and Security.
• Preferred expertise in the financial services sector and familiarity with Agile teams.

Responsibilities

• Executes creative software solutions and troubleshooting with ability to tackle non-routine technical problems.
• Develops secure and high-quality production code, and reviews and debugs code written by others.
• Drives team adoption of enterprise AI-assisted engineering practices to improve code quality, speed, and outcomes.
• Applies knowledge of SDLC toolchain to improve automation and value realization.
• Identifies opportunities to automate recurring issues to improve operating stability of software applications.
• Leads evaluation sessions with vendors and internal teams to probe architectural designs and applicability for use within existing systems.

Skills

Salesforce

Apex

LWC

JavaScript

REST APIs

SOAP APIs

CI/CD

AI-assisted tooling

Security

Agile

Job description

Job responsibilities

• Executes creative software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or breakdown technical problems
• Develops secure and high-quality production code, and reviews and debugs code written by others
• Drives team adoption of enterprise-authorized AI-assisted engineering practices within the work environment to improve code quality, delivery speed, and operational outcomes (e.g., AI-assisted code review/refactoring, test strategy acceleration, incident/root-cause analysis support), while establishing consistent validation standards (secure coding, peer review, automated testing) and promoting reuse of effective patterns across the team.
• Applies knowledge of tools within the Software Development Life Cycle toolchain, including enterprise-authorized AI-assisted development and automation capabilities, to improve the value realized by automation.
• Identifies opportunities to eliminate or automate remediation of recurring issues to improve overall operational stability of software applications and systems
• Leads evaluation sessions with external vendors, startups, and internal teams to drive outcomes-oriented probing of architectural designs, technical credentials, and applicability for use within existing systems and information architecture

Required qualifications, capabilities, and skills

• Formal training or certification on software engineering concepts and 5+ years applied experience
• 10+ years of proven ability to architect scalable, secure and high-performance Salesforce solutions that support business objectives.
• Advanced hands-on development skills in Apex, LWC and JavaScript, with experience across Sales and Service Clouds.
• Expertise in implementing complex integrations between Salesforce and external systems using REST and SOAP APIs.
• Demonstrated experience leading effective use of approved AI-assisted software development tools (e.g., for coding, code review, test acceleration, troubleshooting) with the ability to set team expectations for validating AI outputs for correctness, performance, and security.
• Strong understanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs/outputs, and adherence to resiliency and security expectations; experience coaching engineers on safe, compliant adoption within delivery practices
• Experience in implementing and optimizing CI/CD pipelines for Salesforce deployments.
• Deep understanding of Salesforce security, data modeling and platform best practice
• Advanced understanding of agile methodologies such as CI/CD, Application Resiliency, and Security
  
• Preferred qualifications, capabilities, and skills
• Expertise in the financial services sector.
• Familiarity with Agile methodologies and working in Agile teams.