INFOPARK

Business Analyst

Key Responsibilities:
PDL & Architecture Advisory: Partner daily with Product Delivery Leads and Solution Architects to assess the technical feasibility, latency, rate limits, and integration impact of proposed roadmap features across Workday, ServiceNow, Cornerstone and many other P&C Cloud Solutions.
Cloud Prototyping & Integration Enablers: Engineer lightweight, serverless cloud glue (e.g., AWS Lambda, API Gateway) and build rapid Proofs-of-Concept (PoCs) to connect core SaaS platforms with internal cloud environments.
Vendor Technical Due Diligence: Lead deep-dive technical discussions with vendors. Inspect API/SDK capabilities, payload schemas, and authentication models beyond high-level product demonstrations.
Security & Compliance Risk Reviews: Drive technical Security Risk Assessments (SRAs) and data-flow mappings for new tools and integration patterns in close coordination with Cybersecurity and Risk teams.
System & Ecosystem Optimization: Analyze existing P&C system capabilities and cloud resources to eliminate redundant middleware, optimize runtime performance, and ensure full utilization of owned tools.

Experience:-
4–6 years of hands-on experience in cloud engineering, integration engineering, or senior technical systems analysis within an enterprise setting.
Proven experience evaluating, extending, or integrating enterprise SaaS platforms.

Technical Skills:-
Cloud Certification: Active certification in at least one major public cloud platform—AWS certified (e.g., Solutions Architect Associate/Developer or SysOps) strongly preferred; Azure or GCP certification acceptable with demonstrated AWS familiarity.
Cloud Infrastructure & Serverless: Hands-on proficiency with core cloud services (AWS preferred: Lambda, API Gateway, S3, IAM, EventBridge, CloudWatch, Secrets Manager).
APIs & Integration: Deep understanding of RESTful APIs, GraphQL, webhooks, JSON/XML payloads, and modern authentication protocols (OAuth 2.0, OIDC, SAML).
Scripting & Code: Proficiency in modern scripting languages for rapid PoCs and data transformations (e.g., Python, Node.js/TypeScript).
Security & Systems Analysis: Practical experience conducting Security Risk Assessments (SRAs), data flow modeling, payload schema validation, and technical risk reviews.

Soft Skills:-
Technical Translation: Ability to translate complex cloud and API parameters into clear technical trade-offs for PDLs and business stakeholders.
Proactive Engineering Mindset: Self-driven curiosity to inspect endpoints, write PoC code, and solve technical roadblocks without waiting for exhaustive specifications.
Ownership & Accountability: Strong sense of end-to-end technical accountability, taking personal responsibility for delivering reliable PoCs, thorough technical evaluations, and accurate feasibility findings on schedule.
Collaborative Mindset: Strong ability to work seamlessly with Solution Architects, Cybersecurity teams, and Product Delivery Leads to turn architectural designs and product requirements into validated, working solutions.

Senior Cybersecurity Engineer

What you will do:

Compliance and Regulatory Programs:-

• Own the operational execution of FGI Tech's NYDFS Cybersecurity Regulation 500 compliance program, including policy documentation, annual risk assessments, and regulatory filings.
• Maintain and continuously improve FGI Tech's ISO 27001 compliance posture; support audit preparation and evidence collection.
• Respond to client and prospect security questionnaires, due diligence requests, and information security reviews in support of the sales and CS teams.
• Maintain security policy documentation, control libraries, and audit evidence in an organized, audit-ready state at all times.

Vulnerability Management and Penetration Testing:-

• Conduct ongoing vulnerability assessments across the TRUST platform, cloud infrastructure, and internal systems; prioritize and track remediation.
• Coordinate external penetration testing engagements, manage vendor relationships, and translate findings into actionable remediation plans.
• Monitor threat intelligence feeds and apply findings to the TRUST environment; communicate relevant risks to engineering leadership. Security Operations and Incident Response• Manage security monitoring and visibility across the environment using Vanta, AWS services (GuardDuty, Security Hub, CloudTrail) and existing tooling: tune alerting, analyze logs, investigate anomalies, and maintain operational visibility across the environment.
• Implement a future SIEM capability
• Develop and maintain incident response runbooks; lead tabletop exercises and manage security incidents from detection through resolution and post-mortem.
• Design, implement, and monitor security controls across application, network, and cloud layers (AWS).
• Manage identity and access management (IAM) controls, including privileged access, MFA enforcement, and third-party vendor access policies. Secure Development and Engineering Partnership
• Partner with engineering leadership to embed security into the SDLC -- code reviews, threat modeling, and secure development guidelines.
• Review and assess the security posture of new features, integrations, and infrastructure changes prior to deployment.
• Support vendor and third-party risk assessments, particularly for offshore development partners and SaaS integrations.
• Serve as the internal subject matter expert on application security, API security, and OWASP Top 10 for the development teams.

What we're looking for:

• 7+ years of experience in cybersecurity engineering or information security roles, ideally within a SaaS or fintech environment.
• Demonstrated experience owning or leading compliance programs or audits NYDFS, ISO 27001, SOC2, PCI, or equivalent financial services..
• Strong hands-on experience with cloud security (AWS, Azure, or GCP), including identity, logging, monitoring, and access control
• Ability to quickly adapt and operate in an AWS-based environment is expected
• Experience securing SaaS platforms or applications, including API security and working with engineering teams in an SDLC environment
• Hands-on experience with SIEM platforms, vulnerability scanning tools, and endpoint security solutions.
• Strong understanding of OWASP Top 10, secure coding practices, and API security.
• Experience conducting or coordinating penetration tests and translating findings into remediation roadmaps.
• Excellent written communication skills -- ability to produce policy documentation, audit evidence, and clear security reports for non-technical audiences.
• Experience working in environments with offshore development teams and managing third party vendor security risk (preferred).
• Financial services, insurance, or lending industry background (preferred).
• CISSP, CISM, CEH, or equivalent security certification (preferred).

Salesforce Developer - Marketing Cloud Expert

Must-Have Skills:
4+ years of Salesforce development experience.
Hands-on experience with Salesforce Marketing Cloud.
Strong understanding of audience segmentation, customer journeys, activation, consentaware data usage, and campaign orchestration.
Experience with AMPscript, SQL, SSJS, APIs, and Marketing Cloud automation capabilities.
Experience integrating Salesforce platforms with third-party systems and enterprise data
sources.
Strong knowledge of data modeling, ETL processes, and API-based architectures.
Ability to work across technical and business teams in a fast-paced environment.

Nice-to-Have Skills:
Salesforce Marketing Cloud Developer and/or Salesforce Data Cloud certification.
Experience with Journey Builder, Automation Studio, Contact Builder, Email Studio, Mobile
Studio, and personalization use cases.
Experience with CRM data synchronization and campaign performance optimization.
Familiarity with privacy, consent, and enterprise data governance requirements.

Description: Scope of Work:
The team is looking for a Salesforce Developer with strong expertise across Salesforce Data
Cloud and Salesforce Marketing Cloud to build connected customer data and engagement
solutions. The role owns the technical implementation of audience creation, customer
journeys, data activation, and cross-platform integrations that improve personalized
marketing effectiveness. The objective is to deliver seamless customer data-to-campaign
activation workflows that strengthen personalization and marketing execution in close
partnership with marketing and data stakeholders.

Key Responsibilities:
Design and implement end-to-end solutions across Salesforce Data Cloud and Marketing
Cloud.
Build and support data ingestion pipelines, identity resolution logic, audience
segmentation, and activation workflows.
Develop and maintain Marketing Cloud assets, including journeys, automations, triggered
communications, data extensions, and personalization components.
Integrate Data Cloud audiences and insights with Marketing Cloud campaigns and
orchestration flows.
Partner with marketing, CRM, product, and analytics teams to translate campaign and
customer lifecycle needs into technical solutions.
Monitor campaign data quality, audience accuracy, and platform performance.
Troubleshoot issues across subscriber data, segmentation, activation, automations, and
campaign execution.
Document technical solutions, dependencies, and operational processes.

Salesforce Developer

Experienced Salesforce Developer II supporting the development, enhancement, and integration of
Service Cloud solutions. This role focuses on delivering high-impact business functionality, scalable
custom components, and system integrations within an enterprise Salesforce environment. The role
is a hands-on Salesforce developer position focused on independently executing development tasks
while collaborating effectively with cross-functional teams.
Key Responsibilities:
Develop and enhance Salesforce Service Cloud solutions, including Omni-Channel functionality such
as routing, capacity, and presence management. Build scalable, high-quality applications using Apex
and Lightning frameworks, with LWC as the primary development framework, and maintain existing
Aura and Visualforce components as needed. Build and maintain integrations with third-party
systems using REST APIs, Bulk APIs, and Metadata APIs, including telephony/CTI and external
SaaS/AppExchange integrations.
Time Zone: U.S. Central Time (CT)
Preferred Regions: APAC (India)
Requirements
Must-Have Skills:
• 5+ years of experience developing Salesforce business applications.
• Strong proficiency in Apex, including triggers, controllers, and test classes. Lightning
development, with strong hands-on LWC experience.
• SOQL and SOSL.
• Demonstrated experience building business solutions within Service Cloud. Hands-on
experience with Salesforce Omni-Channel functionality. Experience developing custom
objects and working within the Salesforce development environment.
• Experience integrating Salesforce with third-party systems using REST-based web services.
• Experience maintaining or enhancing existing Aura and/or Visualforce components.
• Hands-on experience with Git and Salesforce CI/CD, deployment, and migration processes.
• Ability to work independently while collaborating effectively in a team environment.
• Strong written and verbal communication skills.
Nice-to-Have Skills:
• Salesforce Platform Developer II certification.
• Experience with telephony/CTI integrations within Salesforce.
• Experience working in enterprise-scale Salesforce environments.
• Familiarity with complex data models and large-scale implementations.
• Experience with Copado or similar Salesforce deployment and CI/CD tools.
• Experience supporting integrations with external SaaS platforms and AppExchange
applications.
• Experience integrating Salesforce with AI-driven tools or services, such as predictive
analytics, machine learning APIs, or generative AI platforms. Exposure to Salesforce AI
capabilities, such as Einstein features or AI-powered automation within Sales Cloud or
Service Cloud.
• Experience building AI-enabled workflows or automation using REST APIs.
• Understanding of prompt engineering concepts or applying generative AI tools within
business applications. Familiarity with data preparation, governance, and security
considerations for AI-enabled solutions

Technical Lead - Salesforce

ust-Have Skills:
7+ years of experience in software engineering, platform engineering, or technical solution delivery.
Proven experience in a Tech Lead, Technical Project Lead, or equivalent role.
Strong project management and cross-functional delivery experience.
Hands-on Salesforce experience, including platform capabilities, integrations, workflows, and enterprise use cases.
Experience building or enabling AI agents, assistant workflows, or intelligent automation solutions.
Familiarity with Claude, Agentforce, or comparable LLM and agent-building platforms.
Strong understanding of solution architecture, systems integration, APIs, and enterprise application design.
Excellent stakeholder communication, technical leadership, and problem-solving skills.

Nice-to-Have Skills:
Experience across Salesforce development, administration, or solution architecture.
Familiarity with prompt design, agent orchestration, grounding patterns, and AI workflow evaluation.
Experience leading Agile delivery across engineering and business teams.
Exposure to cloud platforms, data pipelines, analytics ecosystems, or workflow automation tooling.
Salesforce certifications or relevant AI/platform certifications.
Technical leadership.
Project management.
Salesforce platform.
Agentforce.
Claude.
AI agent building.
Solution architecture.
APIs and integrations.
Stakeholder management.
Delivery execution.

Description: Scope of Work:
This role leads technical delivery across cross-functional initiatives, guiding solution
design and helping teams build scalable, business-aligned systems that combine
enterprise workflow platforms with AI-driven capabilities. The Tech Lead brings strong
project management, Salesforce expertise, and hands-on experience building AI agents on
platforms such as Claude and Agentforce. The objective is to align technology execution
with business priorities while delivering well-architected, maintainable solutions.

Key Responsibilities:
Lead end-to-end technical delivery for projects spanning Salesforce, AI agent solutions, integrations, and enterprise workflows.
Partner with business stakeholders, product managers, architects, and engineering teams to define scope, solution approach, priorities, and implementation plans.
Design scalable technical solutions across Salesforce and related platforms, ensuring alignment with business requirements and long-term architecture goals.
Provide hands-on technical leadership for agent-building initiatives using Claude, Agentforce, and related AI tooling.
Guide the development of AI-enabled workflows, automation patterns, and user-facing agent experiences.
Drive project execution by managing dependencies, technical risks, delivery milestones, and cross-team coordination.
Review technical designs, code, configurations, and implementation approaches to
ensure quality and maintainability.
Mentor engineers and developers, support technical decision-making, and establish engineering best practices.
Collaborate with data, product, and business teams to prioritize high-value use cases and operationalize solutions effectively.
Ensure solutions meet standards for governance, security, reliability, and supportability

Tulip MES Engineer

Digital Tulip MES Engineer
The Digital Tulip MES Engineer is a COE technical lead responsible for designing, deploying, and sustaining Tulip applications within a GMP-regulated pharmaceutical manufacturing environment. This role blends process engineering, low-code development, and compliance-focused digital transformation to improve batch execution, documentation accuracy, deviation reduction, and overall plant performance. The engineer partners with QA, Operations, IT/OT, Validation, and corporate digital teams to ensure Tulip solutions meet regulatory requirements while driving operational excellence.

Key Responsibilities
1. Tulip Application Development & Deployment
· Build and deploy GMP-compliant Tulip apps for:
o Electronic batch records (EBR) and batch execution steps
o In-process quality checks and sampling workflows
o Equipment setup, cleaning, and line clearance verification
o Material dispensing, weighing, and traceability
o Deviation capture, CAPA workflows, and audit trails
· Configure connectors to integrate Tulip with UNS, ERP, LIMS, historians, SCADA/PLC systems, and other validated platforms.
· Develop dashboards to provide real-time visibility into batch progress, quality metrics, and equipment performance.
2. Compliance, Validation & Documentation
· Ensure all Tulip applications comply with GMP, GAMP 5, 21 CFR Part 11, Annex 11, and data integrity (ALCOA+) principles.
· Create and maintain validation documentation (URS, FRS, IQ/OQ/PQ, risk assessments, change controls).
· Partner with QA and Validation teams to ensure audit readiness and proper lifecycle management of digital systems.
· Maintain secure, traceable, and compliant electronic records and audit trails.
3. Support, Sustainment & Continuous Improvement
· Provide day-to-day support for Tulip apps, connectors, and edge devices in a validated environment.
· Troubleshoot issues related to data integrity, device connectivity, and workflow logic.
· Monitor system performance, user adoption, and data quality; drive continuous improvement initiatives.
· Maintain version control, documentation, and change management in alignment with GMP expectations.
4. Workforce Training & Change Management
· Train operators, supervisors, QA personnel, and engineers on new Tulip workflows.
· Develop SOPs, training materials, and job aids that meet regulatory documentation standards.
· Promote a culture of digital adoption, right-first-time execution, and data-driven decision-making.
5. Cross-Functional Collaboration
· Partner with QA, Validation, and IT/OT to ensure secure, compliant, and reliable infrastructure for Tulip deployments.
· Collaborate with process engineering and operations to embed Tulip into new equipment, processes, and capital projects.
· Work with corporate digital teams to align with enterprise architecture, cybersecurity, and digital strategy.

Qualifications
· Bachelor’s degree in Engineering, Computer Science, Life Sciences, or related field.
· 2–5 years of experience in pharmaceutical manufacturing, process engineering, or digital systems.
· Hands-on experience with Tulip or similar low-code MES/digital work instruction platforms.
· Understanding of GMP, GAMP 5, 21 CFR Part 11, Annex 11, and data integrity requirements.
· Experience validating computerized systems in a regulated environment.
· Knowledge of SQL, APIs, OPC UA, or IoT integrations.
· Experience with Lean, Six Sigma, or operational excellence methodologies.
· Familiarity with pharma systems (ERP, LIMS, MES, SCADA, PLCs).
· Strong analytical and problem-solving skills with the ability to translate GMP workflows into digital solutions

Sr Devops Engineer

Senior Software Engineer — DevOps responsible for designing, configuring, securing, monitoring,
maintaining, and troubleshooting cloud infrastructure and web services across AWS/Azure/GCP
environments. The role focuses heavily on AWS infrastructure, web/application performance,
automation, system security, databases, networking, deployment pipelines, and disaster recovery, While
working closely with Development, IT, and Product teams.
Main Required Skills
Cloud: Strong hands-on experience with AWS; knowledge of Azure and GCP
DevOps & Automation: Jenkins, Ansible, Salt, CI/CD and automation pipelines
Infrastructure: Infrastructure provisioning, configuration, patching, upgrades, maintenance and
capacity management
Web Infrastructure: LAMP stack, web servers, web farms, DNS, load balancing and web services
Networking: TCP/IP, network troubleshooting, firewalls, load balancers and performance
troubleshooting
Databases: MSSQL, MySQL and PostgreSQL administration
Security: Cloud/system security, access management, security monitoring and audits
Monitoring & Troubleshooting: System/application monitoring, log analysis, incident and
performance troubleshooting
Disaster Recovery: Backup management and Data Recovery/DR site setup and maintenance
Development Environment: Experience supporting Dev and Test infrastructure
Microservices: Experience working With or supporting microservices architectures
Programming/Scripting: Programming or scripting experience is a strong plus
Collaboration: Experience working cross-functionally with Development, IT, Design and product
Must-Have Skills
For sourcing and initial screening, I would treat these as the core mandatory requirements:
years Of relevant DevOps / Cloud / Infrastructure experience
2.
Strong hands-on AWS experience — setting up, configuring and managing AWS environments
LAMP / Web Infrastructure administration
3.
TCP/IP networking and troubleshooting
4.
5.
Web services, DNS and load balancing
Infrastructure provisioning and cloud capacity management
6.
CI/CD and automation pipeline experience
7.
System/application monitoring and troubleshooting
8.
Security experience, including firewall, access management and system/cloud security
9.
Experience with databases, particularly MySQL/PostgreSQL and/or MSSQL administration
10.
Operating system administration, including installation, patching, upgrades and configuration
11.
12.
Backup and Disaster Recovery experience
13. Strong English communication skills

Salesforce Developer- Marketing Cloud

4+ years of Salesforce development experience.
Hands-on experience with Salesforce Marketing Cloud.
Strong understanding of audience segmentation, customer journeys, activation, consentaware data usage, and campaign orchestration.
Experience with AMPscript, SQL, SSJS, APIs, and Marketing Cloud automation capabilities.
Experience integrating Salesforce platforms with third-party systems and enterprise data
sources.
Strong knowledge of data modeling, ETL processes, and API-based architectures.
Ability to work across technical and business teams in a fast-paced environment.
Nice-to-Have Skills:
Salesforce Marketing Cloud Developer and/or Salesforce Data Cloud certification.
Experience with Journey Builder, Automation Studio, Contact Builder, Email Studio, Mobile
Studio, and personalization use cases.
Experience with CRM data synchronization and campaign performance optimization.
Familiarity with privacy, consent, and enterprise data governance requirements.
Description: Scope of Work:
The team is looking for a Salesforce Developer with strong expertise across Salesforce Data
Cloud and Salesforce Marketing Cloud to build connected customer data and engagement
solutions. The role owns the technical implementation of audience creation, customer
journeys, data activation, and cross-platform integrations that improve personalized
marketing effectiveness. The objective is to deliver seamless customer data-to-campaign
activation workflows that strengthen personalization and marketing execution in close
partnership with marketing and data stakeholders.
Key Responsibilities:
Design and implement end-to-end solutions across Salesforce Data Cloud and Marketing
Cloud.
Build and support data ingestion pipelines, identity resolution logic, audience
segmentation, and activation workflows.
Develop and maintain Marketing Cloud assets, including journeys, automations, triggered
communications, data extensions, and personalization components.
Integrate Data Cloud audiences and insights with Marketing Cloud campaigns and
orchestration flows.
Partner with marketing, CRM, product, and analytics teams to translate campaign and
customer lifecycle needs into technical solutions.
Monitor campaign data quality, audience accuracy, and platform performance.
Troubleshoot issues across subscriber data, segmentation, activation, automations, and
campaign execution.
Document technical solutions, dependencies, and operational processes.
Time Zone Coverage: U.S. Central Time (CST); some overlap with India Standard Time (IST)
is expected (Preferably, availability until 11:00 a.m. CST)
Preferred Region: APAC.

Senior Finops Engineer

Drive cloud cost optimization, financial visibility, forecasting, and FinOps practices across cloud
environments in collaboration with Engineering, DevOps, Finance, and business teams.
Key Responsibilities
• Monitor and analyze cloud spend, usage, budgets, and cost trends.
• Identify and implement cost optimization opportunities, including rightsizing and removal of
unused resources.
• Manage cost allocation, tagging, budgeting, forecasting, and showback/chargeback practices.
• Develop cost dashboards, reports, and optimization recommendations.
• Optimize commitment and discount strategies, including Reserved Instances and Savings Plans.
• Monitor cost anomalies and budget variances.
• Work with Engineering and DevOps teams to embed cost efficiency into cloud architecture and
operations.
• Define FinOps KPIs and improve FinOps governance and processes.
Required Skills & Experience
• 5+ years in Cloud Engineering, DevOps, FinOps, or a related field.
• 2+ years of hands-on cloud cost management and optimization experience.
• Strong experience in GCP, including pricing and cost management.
• Experience with cloud cost management tools, dashboards, and reporting.
• Strong analytical skills; Excel and SQL required. Scripting skills are preferred.
• Good understanding of cloud architecture and services.
• Strong stakeholder management and communication skills.
Preferred Certifications
FinOps Certified Practitioner and relevant GCP certifications.
Key Success Measures
• Cloud cost savings and optimization delivered.
• Improved cost visibility, allocation accuracy, and forecasting.
• Reduction in unused and underutilized resources.
• Adoption of FinOps standards and governance practices

Fullstack AI Engineer

 Experience on Docker and Containerization technology.
 Experience working with Node.js, ReactJS, NextJS, NestJS, Typescript, MERN equivalent stacks.
 Experience working with building GenAI applications and have experience with GenAI Knowledge, such as. Context, Token, Completions, Temperature, RAG, Hallucination, etc.
 Experience working with LangChain, LangGraph/PydanticAI and Python.
 Experience working with NoSQL databases such as MongoDB, DynamoDB, etc.
 Experience working with Relational databases such as PostgreSQL, etc.
 Experience working with Unit Testing tools such as Jest/Playwright/Cypress/Pytest.
 Knowledge in source code repository and branching models in Git and usage of tools such as GitHub, GitLab, BitBucket etc.
 Working knowledge of Agile and/or Lean methodologies along with tools such as Confluence, JIRA and Sharepoint.
 Demonstrated exceptional written and verbal communication skills.

AI Engineer- AWS

 Know-how of the AWS technology stacks and services. Familiar with other cloud providers and technology is a plus.
 Fundamental experience building applications using services provided by AWS such as API Gateway, EC2, AWS lambda , ECS, EKS (is a plus), ECR, etc.
 Experience on building Serverless Architecture solutions using Docker, Lambda, ECS, EKS, etc. and Microservice Architecture.
 Having certifications like AWS Solutions Architect or other equivalent is a plus.
 Experience working with Node.js, ReactJS, NextJS, NestJS, Typescript, MERN equivalent stacks.
 Experience working with Go Lang is a plus.
 Having knowledge about WebRTC is a plus.
 Experience working with Contact Center is a plus.
 Experience working with building GenAI applications and have experience with GenAI Knowledge, such as. Context, Token, Completions, Temperature, RAG, Hallucination, etc.
 Experience working with LangChain, LangGraph and Python.
 Experience working with Google ADK is a strong plus.
 Experience working with Text-to-Speech, Speech-to-Text and Speech-to-Speech is a plus.
 Experience working with NoSQL databases such as MongoDB, DynamoDB, etc.
 Experience working with CI/CD tooling such as BitBucket pipeline
 Experience working with Unit Testing tools such as Jest/Playwright/Cypress.
 Experience working with Infrastructure-as-a-Code (IaC) such as Terraform.
 Knowledge in source code repository and branching models in Git and usage of tools such as GitHub, GitLab, BitBucket etc.
 Working knowledge of Agile and/or Lean methodologies along with tools such as Confluence, JIRA and Sharepoint.
 Demonstrated exceptional written and verbal communication skills.

Software AI Engineer

Software Engineer, AI Engineer
Must-Have Skills:
4+ years of experience in software engineering, backend engineering, or applied AI
engineering.
Strong programming skills in Java and/or Python.
Hands-on experience building AI-powered applications or integrating LLM capabilities into
production systems.
Experience designing or building AI agents, multi-step orchestration workflows, or toolusing automation systems.
Experience with MCP or similar integration patterns for connecting AI systems to external
tools, APIs, or enterprise platforms.
Strong understanding of system design, APIs, distributed systems, and production
software engineering fundamentals.
Familiarity with prompt design, context management, evaluation approaches, and
reliability patterns for agent-based systems.
Proven ability to work effectively in fast-paced delivery environments.
Delivery-oriented and comfortable operating across development, experimentation, and
production support responsibilities.
Effective at collaborating with cross-functional teams under tight timelines.
Strong ownership mindset with practical problem-solving skills.
Nice-to-Have Skills:
Experience with multi-agent systems, retrieval-augmented generation, semantic search,
or vector-based architectures.
Familiarity with cloud-native infrastructure, monitoring, and observability for AI services.
Experience with model evaluation, guardrails, safety patterns, and prompt/version
lifecycle management.
Experience integrating AI solutions with enterprise platforms such as Salesforce, Jira,
Slack, or internal developer tools.
Background in workflow automation, event-driven systems, or backend platforms that
support AI-enabled products.
Description: Scope of Work:
This contract Software Engineer supports AI engineering initiatives focused on building and
scaling intelligent applications, agentic workflows, and MCP-integrated solutions. The role
is suited for an engineer who can quickly contribute to AI-powered systems, productiongrade backend services, and applied automation use cases. The goal is to accelerate the
delivery of scalable AI solutions that improve developer productivity, workflow
orchestration, decision support, and downstream business integrations.
Key Responsibilities:
Design, build, and enhance AI-powered applications and backend services for internal or
customer-facing use cases.
Build and maintain AI agents and agentic workflows that can reason, orchestrate tasks,
and integrate with enterprise tools and services.
Develop MCP-based integrations and tool interfaces that enable AI systems to interact
securely with external platforms, APIs, and business systems.
Implement prompt orchestration, context handling, tool calling, memory patterns, and
evaluation workflows for reliable agent behavior.
Collaborate with engineering, product, and architecture teams to define scalable patterns
for AI agent development and deployment.
Integrate LLM capabilities into software systems while balancing performance, reliability,
cost, and safety.
Investigate system issues, improve quality and observability, and optimize AI workflow
efficiency in production environments.
Participate in code reviews, release support, experimentation, and production incident
resolution.
Create technical documentation and contribute to best practices for AI engineering, agent
development, and MCP adoption.
Time Zone Coverage: U.S. Central Time (CST); some overlap with India Standard Time (IST)
is expected (Preferably, availability until 11:00 a.m. CST)
Preferred Region: APAC

Technical Lead Salesforce

7+ years of experience in software engineering, platform engineering, or technical solution
delivery.
Proven experience in a Tech Lead, Technical Project Lead, or equivalent role.
Strong project management and cross-functional delivery experience.
Hands-on Salesforce experience, including platform capabilities, integrations, workflows,
and enterprise use cases.
Experience building or enabling AI agents, assistant workflows, or intelligent automation
solutions.
Familiarity with Claude, Agentforce, or comparable LLM and agent-building platforms.
Strong understanding of solution architecture, systems integration, APIs, and enterprise
application design.
Excellent stakeholder communication, technical leadership, and problem-solving skills.
Nice-to-Have Skills:
Experience across Salesforce development, administration, or solution architecture.
Familiarity with prompt design, agent orchestration, grounding patterns, and AI workflow
evaluation.
Experience leading Agile delivery across engineering and business teams.
Exposure to cloud platforms, data pipelines, analytics ecosystems, or workflow
automation tooling.
Salesforce certifications or relevant AI/platform certifications.
Technical leadership.
Project management.
Salesforce platform.
Agentforce.
Claude.
AI agent building.
Solution architecture.
APIs and integrations.
Stakeholder management.
Delivery execution.
Description: Scope of Work:
This role leads technical delivery across cross-functional initiatives, guiding solution
design and helping teams build scalable, business-aligned systems that combine
enterprise workflow platforms with AI-driven capabilities. The Tech Lead brings strong
project management, Salesforce expertise, and hands-on experience building AI agents on
platforms such as Claude and Agentforce. The objective is to align technology execution
with business priorities while delivering well-architected, maintainable solutions.
Key Responsibilities:
Lead end-to-end technical delivery for projects spanning Salesforce, AI agent solutions,
integrations, and enterprise workflows.
Partner with business stakeholders, product managers, architects, and engineering teams
to define scope, solution approach, priorities, and implementation plans.
Design scalable technical solutions across Salesforce and related platforms, ensuring
alignment with business requirements and long-term architecture goals.
Provide hands-on technical leadership for agent-building initiatives using Claude,
Agentforce, and related AI tooling.
Guide the development of AI-enabled workflows, automation patterns, and user-facing
agent experiences.
Drive project execution by managing dependencies, technical risks, delivery milestones,
and cross-team coordination.
Review technical designs, code, configurations, and implementation approaches to
ensure quality and maintainability.
Mentor engineers and developers, support technical decision-making, and establish
engineering best practices.
Collaborate with data, product, and business teams to prioritize high-value use cases and
operationalize solutions effectively.
Ensure solutions meet standards for governance, security, reliability, and supportability.
Time Zone Coverage: U.S. Central Time (CST); some overlap with India Standard Time (IST)
is expected (Preferably, availability until 11:00 a.m. CST)
Preferred Region: APAC

Cloud Lead Security

Mahindra Manulife – Digital First, AI-Native Insurer (Life & Health)

Role Purpose
You will be responsible for ensuring the real-time security posture of the cloud platform and applications, including detection, validation, and response to vulnerabilities, threats, and misconfigurations.
You will act as the independent security control function, ensuring that all infrastructure and platforms built and operated by engineering teams remain secure, resilient, and free from exploitable risks.
________________________________________
Key Responsibilities
Cloud Security Posture Management
You will own and operate cloud security platforms such as Palo, Qualys, Zscaler to continuously monitor infrastructure, workloads, and configurations.
You will ensure that no insecure or non-compliant workloads exist in the environment by driving timely remediation of vulnerabilities and misconfigurations.
________________________________________
Threat Detection & Response
You will own the security monitoring and threat detection ecosystem using platforms such as Palo SIEM.
You will detect, investigate, and coordinate response to security incidents, anomalous behaviours, and potential breaches.
You will define and implement incident response playbooks in collaboration with SRE and Platform teams.
________________________________________
Identity & Access Validation
You will validate identity and access controls across the platform, including IAM configurations, role definitions, and privileged access mechanisms.
You will ensure that privileged access is secure, compliant, and fully traceable through systems such as CyberArk.
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Validation of Security Remediation
You will act as the technical validator of all security-related fixes, ensuring that vulnerabilities and risks have been fully addressed.
You will revalidate fixes and ensure that no residual risks remain before issues are considered closed.
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Proactive Risk Management
You will continuously identify potential risks, weak configurations, and emerging threat vectors across the environment.
You will provide recommendations to Platform Engineering teams to improve architecture, controls, and security posture.
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Penetration testing & Read teaming Management
You will ensure the effectiveness of SOC, IAM, PAM, cloud security controls, and incident response, while penetration testing is performed more frequently on applications, infrastructure, and cloud environments.
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Collaboration with Platform & Governance
You will raise findings to Platform and SRE teams for remediation and track them to closure.
You will support Governance teams by providing evidence, validation, and insights required for audits and compliance.
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Experience & Skills
You bring 10–15 years of experience in cloud security, cybersecurity operations, or threat management roles.
You have strong expertise in cloud security posture management tools, SIEM platforms, vulnerability management and penetrate on testing.
You have experience implementing Zero Trust and identity security frameworks.
You have experience in managing app security as well deployed on CI/CD.
Experience in BFSI or regulated environments is preferred.
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What We Look For
You have a strong security mindset for business and the ability to proactively identify risks.
You are detail-oriented and evidence-driven in your approach.
You are comfortable validating and challenging technical implementations.
You can operate effectively as an independent control function while collaborating with engineering teams.

Cloud Finops Engineer

Role Purpose
The role will drive financial governance, strategic planning, and operational excellence across MMIL's Infrastructure landscape while leveraging Agentic AI and automation technologies to transform Infrastructure and FinOps operations.
The incumbent will be responsible for managing infrastructure financials, governance, roadmaps, procurement processes, and developing AI-powered agents that automate routine operational and financial management activities. The role will also support larger enterprise AI initiatives focused on Infrastructure and Cloud operations.
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Key Responsibilities
Cloud FinOps & Financial Governance
• Manage infrastructure budget planning, forecasting, and tracking.
• Drive infrastructure cost optimization initiatives across cloud and on-prem environments.
• Develop and operationalize showback, chargeback, and debit frameworks.
• Establish infrastructure financial governance processes and controls.
• Create executive dashboards for spend visibility, consumption trends, and optimization opportunities.
• Partner with Finance, Procurement, and Technology teams to drive financial accountability.
Procurement & Commercial Management
• Manage PR/PO lifecycle for infrastructure services.
• Track contracts, renewals, and vendor commercial commitments.
• Support infrastructure financial planning and procurement governance.
• Ensure timely processing of technology procurements and budget utilization.
Infrastructure Governance & Transformation
• Own and maintain the Infrastructure roadmap.
• Coordinate with Cloud, Network, Security, Platform, Workplace, and Data Center teams.
• Track project milestones, risks, dependencies, and escalations.
• Facilitate governance reviews and leadership reporting.
• Drive execution discipline across infrastructure initiatives.
Agentic AI Development & Automation
• Design, build, and deploy AI agents to automate FinOps, governance, and operational workflows.
• Create AI agents for:
o Budget monitoring
o Cost anomaly detection
o Cost optimization recommendations
o PR/PO tracking
o Executive reporting
o Risk identification
o Compliance monitoring
o Infrastructure health insights
• Build copilots and workflow agents leveraging enterprise AI platforms.
• Integrate AI solutions with ITSM, monitoring, cloud, and financial systems.
• Continuously improve operational efficiency through AI-driven automation.
Enterprise AI & Infrastructure Innovation
• Support larger AI transformation initiatives within the Infrastructure organization.
• Identify use cases where AI can improve productivity, governance, decision-making, and service delivery.
• Collaborate with Cloud, Data, Security, and AI teams to develop scalable enterprise AI solutions.
• Evaluate emerging AI technologies and recommend adoption opportunities.
• Act as the Infrastructure function's AI champion.
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Preferred Technical Skills
Cloud & FinOps
• Azure / AWS fundamentals
• Cloud Cost Management
• FinOps Frameworks
• Budgeting & Forecasting
• Chargeback / Showback Models
AI & Automation
• Microsoft Copilot Studio
• Azure AI Foundry
• Azure OpenAI
• LangChain / LangGraph
• AutoGen
• CrewAI
• Power Platform
• Power Automate
• API Integrations
• Prompt Engineering
• RAG Architectures
• Workflow Automation
Governance & Strategy
• PMO Management
• Business Case Development
• Executive Reporting
• Stakeholder Management
• Risk & Dependency Management
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Must have
• ~8 years of experience
• Understands Cloud services & costing in depth
• Experienced in Cloud FinOps – Chargeback, Budget, Cost Optimization, Governance, Tagging
• Experienced in building AI agents independently using low-code and code-based platforms

Good to have
Certifications – AWS Cloud, FinOps, AI
Experience in Cloud business cases
PMO experience