Requirements

• Number of Positions: 3
• Experience: 3 to 4 Years
• Working Time: 9 AM to 6 PM IST
• Work Duration: Minimum 6 Months to Maximum 12 Months

Skill Set

• Django

Requirements

● 8+ years of experience in software development.
● Have 5+ years of relevant experience with ReactNative and Redux
● Hands-on experience working on ReactNative on the front end to create Android/iOS Apps.
● Thorough understanding of React Native and its core principles
● Strong proficiency in JavaScript, including DOM manipulation and the JavaScript object model
● Firm grasp of the JavaScript {{and TypeScript or ClojureScript}} language and its nuances, including ES6+ syntax
● Rock solid at working with third-party dependencies and debugging dependency conflicts
● Familiarity with native build tools, like XCode, Gradle, {{Android Studio, IntelliJ}}
● Understanding of REST APIs, the document request model, and offline storage
● Experience with popular React workflows (such as Flux or Redux)
● Experience creating, optimising, and integrating Application Programming Interface (API) calls; background in API development preferred.
● Experience with Agile/Scrum methodologies.
● Familiarity with Git and version control systems.
● Experience with mobile CI/CD tools (Fastlane, Bitrise, or GitHub Actions).
● Knowledge of mobile security practices and data protection.
● Experience with automated testing frameworks (Jest, Detox, Appium).
● Published apps on the App Store or Google Play Store.

Skill Set

• Android
• ios
• JavaScript
• React Native
• redux
• Typescript

Requirements

Skill Set

• Apex
• Salesforce
• Sql

Requirements

Skill Set

• Salesforce

Requirements

Skill Set

• Agile Software Development
• Salesforce

Requirements

Hours: 960 hrs
Working Hours: SGT

We are seeking an experienced and hands-on Microsoft Azure DevOps Engineer to join our team and play a pivotal role in establishing and maintaining robust CI/CD pipelines for Salesforce deployments. The ideal candidate will bring a strong background in Azure DevOps,an understanding of Salesforce metadata management, and the ability to implement DevOps
best practices tailored to Salesforce deployments.

Key Responsibilities
1. Pipeline Configuration and Management:
○ Design, implement, and maintain Azure DevOps pipelines for Salesforce CI/CD
processes.
○ Configure build and release definitions for automating metadata deployment and
retrieval.
○ Utilize tools such as Salesforce CLI, Git, and Azure DevOps YAML pipelines.
2. Source Control Management:
○ Implement branching strategies to enable parallel development and effective
code review processes.
○ Integrate Salesforce metadata and code with Git repositories.
○ Manage merge conflicts and ensure repository hygiene.
3. Environment Management:
○ Establish and manage sandbox environments for development, testing, and
staging.
○ Automate the process of sandbox refresh and configuration.
○ Ensure proper deployment tracking across environments.
4. Deployment Automation:
○ Build scripts and templates to automate Salesforce metadata deployments.
○ Configuring gating and approval process for branches and pull requests
○ Develop validation steps to catch errors early in the deployment cycle.
○ Implement rollback mechanisms to handle failed deployments.
5. Monitoring and Troubleshooting:
○ Monitor pipeline health and performance, ensuring minimal downtime.

○ Troubleshoot and resolve pipeline or deployment issues promptly.
○ Analyze deployment logs and improve automation reliability.
6. Compliance and Security:
○ Enforce deployment compliance with organizational security policies.
○ Secure sensitive credentials using Azure Key Vault and other recommended
tools.
○ Implement guardrails to prevent unauthorized changes to Salesforce
environments.
7. Collaboration and Training:
○ Work closely with Salesforce developers, architects, and administrators to align
DevOps processes with business needs.
○ Provide training and documentation on pipeline usage and DevOps best
practices.
8. DevOps Best Practices:
○ Champion DevOps culture by promoting automation, repeatability, and
accountability in the Salesforce development lifecycle.
○ Stay updated with the latest in Salesforce DX and Azure DevOps technologies
and integrate them into the pipeline as needed.
○ Build new automation and CI/CD capabilities to increase delivery velocity across
the development squads

Qualifications and Skills
● Technical Skills:
○ Hands-on (2+ yrs preferred) experience with Azure DevOps, including Pipelines,
Repos, and Artifacts.
○ Proficiency with Salesforce metadata management (including OmniStudio) and
tools such as Salesforce DX, Salesforce CLI, PMD, and Integrations.
○ Strong understanding of Git-based version control systems.
○ Experience with scripting languages like PowerShell, Bash, or Python.
○ Familiarity with YAML pipeline configurations and parameterized builds.
● Experience:
○ Proven track record of setting up and managing CI/CD pipelines for Salesforce
projects.
○ Knowledge of Salesforce deployment tools like Copado, Gearset, or Jenkins (a
plus).
○ Understanding of Agile and DevOps principles.
● Soft Skills:
○ Excellent communication skills to collaborate effectively with cross-functional
teams.
○ Strong problem-solving abilities and attention to detail.
○ Self-motivated with a commitment to continuous learning and process
improvement.

Skill Set

• Azure
• CI/CD
• Salesforce

Requirements

Skill Set

• Salesforce

Requirements

 D365 CRM developer with 4+ years of experience?
Remote. 3 to 6 months. 12PM to 9 PM IST.

Skill Set

• Dynamic CRM implementation

Requirements

 Do you have AEM developers available. Frontend and backend - 2 positions

3+ years 

Skill Set

• AEM
• Aws
• React

Requirements

Key Responsibilities:
 Lead Development Team: Immediately contribute as a hands-on leader, reviewing code and guiding a team
of 3-4 developers, ensuring that development follows best practices, and maintaining quality and
efficiency.
 Solution Design and Architecture: Work with stakeholders to design and propose technical solutions.
Engage in real-time brainstorming sessions to evaluate ideas based on time, scope, cost, and benefits,
identifying potential issues early on.
 Stakeholder Engagement: Communicate effectively at various levels—technical, business, and C-level—
articulating complex concepts clearly and concisely. Engage with tech leads, architects, DevOps, Data, BA,
PM, and C-Level executives.
 Quality Delivery Leadership: Ensure high-quality delivery by following disciplined SDLC processes. Aim to
minimize downtime and defects, as demonstrated by a track record of minimal system downtime (3 hours
in 4 years) and rare defects.
 Team Growth & Leadership: Build trust within the team, foster a collaborative culture, and drive the team
towards continuous improvement. Partner with the primary vendor, assist with hiring decisions, and shape
the future growth of the team.
 Solution Integration: Oversee the seamless integration of architecture and features, working within the
AWS cloud platform and ensuring adaptability to evolving business needs.
 GenAI in SDLC: Understand and implement GenAI tools within the SDLC, providing insights into the
benefits and potential drawbacks of various tools for different team roles.
Key Skills:
 Deep Technical Expertise: Extensive knowledge of the AWS ecosystem, including serverless and
microservice architectures. Experience with AWS services such as Redshift, S3, Glue, Lambda, RDS, EKS,
CloudWatch, and IAM.
 Backend Development: Strong experience with Python (Flask), PostgreSQL-based Aurora AWS RDS,
SQLAlchemy, and REST APIs.
 Front-End Development: Experience with ReactJS or other modern JavaScript frameworks.
 Cloud & Infrastructure Management: Proficient with Terraform, Jenkins, Docker, Kubernetes, and CI/CD
pipelines.
 Data Management: Expertise in data storage and processing using AWS services like Redshift, Aurora, S3,
and Glue.
 Security & Compliance: Knowledge of AWS IAM, CloudTrail, Secrets Manager, and other security services
to ensure a secure, compliant architecture.
 Strong Leadership & Communication: Exceptional communication skills to engage with technical and non-
technical stakeholders. Proven ability to lead teams, make decisions, and deliver complex projects.

 GenAI Awareness: Understanding of how GenAI tools can be integrated into the SDLC process, including
their role in development, testing, and deployment.
 Leadership in Cloud & Data Architecture: Experience in leading large-scale cloud transformations, data
migrations, and cloud-native applications.
 Continuous Learning: Passion for staying up-to-date with emerging technologies, including advancements
in AI/ML, cloud services, and serverless architecture.
Preferred Experience:
 AWS Certification: AWS Solutions Architect – Professional or similar certification.
 GenAI Tools: Hands-on experience with tools like SageMaker, Lambda, or other AI/ML platforms.
Client’s Expectations for the Role:
 The client has outlined the following expectations for this role:
 Contribute to the project, conduct code reviews, and lead a team.
 Collaborate on architectural and feature solutions, considering time, scope, cost, and risks, while
proactively addressing challenges.
 Communicate effectively with technical, business, and executive stakeholders, ensuring alignment across
teams
 Ensure the team delivers high-quality solutions with minimal downtime and defects
 Adhere to a disciplined SDLC process to ensure efficient project delivery
 Apply knowledge of GenAI tools and their impact on the SDLC
 Demonstrate proficiency across AWS, DevOps, Data, and the SDLC
Technical Landscape:
The client’s platform is built on a microservice and serverless architecture, utilizing AWS cloud services. It follows
an RBAC model, ensuring up-to-date technology and versions, with no legacy systems. Although not a SaaS
solution, the platform was designed for scalability and adaptability. For example, serverless ETL technology is
employed to dynamically scale resources for data transformation, removing the need for cluster management.
Additionally, Redshift is used to scale and handle increasing data volumes and load on the cluster.
Please review the detailed job description on the following page for further information.
Technologies Used in Client Application:
 Production OS: Amazon Linux 2 & 2023
 Backend: Flask, PostgreSQL Aurora RDS, SQLAlchemy, REST API, Celery
 Front-End: React JS
 Core Data & AWS Serverless: AWS Redshift, S3, Glue, Aurora RDS
 Open Source / AWS Services: Terraform, Jenkins, Docker, Sonatype Nexus, CloudTrail, CloudWatch, ECR,
EKS, Kubernetes, SumoLogic, Lambda, ELB, EC2, OpenSearch, SNS, Elasticache, SQS, Route 53, Secrets
Manager, API Gateway, Cognito, SageMaker

Skill Set

• Aws
• Kubernetes
• Reactjs
• Redshift
• Unix/Linux