#LI-AM1

About the role

The focus of this role is to bolster Auctane's global engineering and operations within the Information Security Group. This position reports directly to the CISO and entails the leadership of several security programs within the engineering and operations teams.

The successful candidate will be instrumental in defining and developing the technology and processes governing cybersecurity practices to secure Auctane's global infrastructure. The role will specifically concentrate on securing the Enterprise and Cloud Infrastructures, alongside managing security operations responsibilities.This critical role requires a successful candidate to be a key contributor in establishing and evolving the technology and processes that define Auctane's global cybersecurity practices. The primary focus of this position is to secure the Enterprise and Cloud Infrastructures while also managing core security operations.

The Infosec group operates as part of the broader R&D Tech function, which utilizes modern architectural patterns and technologies, including AI, at scale and pace. This is a fully on-site position located in Manila, Philippines, with the primary shift scheduled between 10 pm to 7 am PHT, and flexibility to support other hours. 

Travel Requirements: Up to 10% travel required.

About the team

We have a flat and open engineering culture where diverse opinions and perspectives are valued, data and evidence beats opinion and hierarchy, backed by honest and frank discussions. We passionately believe in forming autonomous, cross functional teams who are empowered to deliver our ambitious strategy. Our engineering culture is characterized by its flat and open structure, where diverse opinions and perspectives are highly valued. Decisions are driven by data and evidence, superseding opinion and hierarchy, and are supported by candid and transparent discussions. We are strong advocates for the formation of autonomous, cross-functional teams who are fully empowered to execute our ambitious strategy. We strongly support cross-collaboration and mission driven autonomous teams that are given full authority to implement our ambitious strategy. Our ambitious strategy is implemented by autonomous, mission-driven teams that are fully empowered to act and strongly encouraged to cross-collaborate.

What will you be doing?

• ReviewWorking to review and enrich playbooks and see opportunities for automation efficiencies in our Security detection and response capabilities.
• Liaising with the Engineering teams on incident response, vulnerability management and remediation actions
• Responsible for providing technical expertise in the support of security incidents using a plethora of leading security tools, coupled with continuous learning and training
• Working with AWS & GCP Cloud-native security tooling such as GuardDuty, Security Hub,  GCP Security Command Center to ensure a level of protection & monitoring of threats in Auctane Public Cloud environments. 
• Following up on regular security reviews, vulnerability, risk assessments and audits utilising our CSMP tool Wiz and Endpoint vulnerability tool Crowdstrike.
• Building relationships with all staff to promote “Security by Design” throughout the Engineering Teams and wider business.
• Being part of the internal Infosec / cyber security incident process - investigate suspected attacks and help manage security incidents, including providing post-mortem analysis, identify causes, develop solutions and preventive measures
• Responding swiftly to new and emerging security threats and vulnerabilities, investigate suspected attacks and be an integral part of the Information security incident process
• Learning and training, to enhance knowledge of Security Orchestration and Automation.

What are we looking for?

• Bachelor’s degree in Cybersecurity, Information Technology, Computer Science, or a related technical field
• 8+ years of progressive experience in cybersecurity, with at least 3-5 years in leading large scale cyber security implementations
• Experience defining and leading several cyber security programs for large scale organizations
• Advanced level experience at least in one or two security domains within the Enterprise and Cloud Infrastructures to develop threat detections and mitigation strategies 
• Experience leading projects and programs while defining the roadmap and milestones, and communicating with to technical and non-technical stakeholders while advising senior management 
• Experience leading other engineers and analysts while collaborating with the external team members
• Able to balance the demands of delivering high quality and demanding timescales.
• Relevant industry certifications (e.g. CISSP, CISM, CRISC, AWS Security, GCP Security)

What will make you stand out?

• Expert-level knowledge of AWS, Azure, and/or GCP security
• Expertise in vulnerability and risk management across public cloud and enterprise environments
• Expertise in leading advanced threats detection and prevention programs in a cross-functional environment 
• Expertise in developing security patterns with architectural recommendations
• Advanced experience in software development practices, automation with basic knowledge of AI

The Tech

• AWS, GCP, SaaS, and Enterprise
• Artificial Intelligence Solutions (Gemini, Claude, internal)
• CNAPP, DSPM, and Cloud Security Solutions
• Application Security Technologies (DAST, SAST, SCA, ASM)
• Email Security Technologies
• SIEM Solutions and Detection Technologies
• Google Workspace
• Vulnerability Management Solutions
• Application Security
• Python, PowerShell, Bash

What do we offer?

🌿 1. Health & Well-being
Auctane prioritizes the health and well-being of our employees and their families.

🩺 HMO Medical Insurance:

• Tiered Maximum Benefit Limit (MBL) based on job level.
• Comprehensive coverage for the employee and up to two (2) dependents.

🦷 Dental Insurance:

• Coverage for essential dental care services.

🧠 Mental Health & Employee Assistance Program (EAP):

• Access to confidential counseling and support services for mental health and personal challenges.

🏃 Wellness Program:

• Initiatives and resources designed to promote physical and mental well-being.

2. Financial Security & Compensation Enhancements
We offer benefits aimed at providing financial stability and enhancing your overall compensation.

❤️ Life Insurance:

• Financial protection for your loved ones.

⚠️ Accidental Death and Dismemberment (AD&D) Insurance:

• Additional financial protection in the event of accidental death or dismemberment.

🍽️ Meal and Clothing Allowance:

• Up to 3,000 PHP per month for meal and clothing expenses.

🎯 Bonuses and Supplemental Income:

• Opportunity to earn extra wages through company contests and incentives.

3. Time Off & Work-Life Balance
Auctane recognizes the importance of rest and personal time for a healthy work-life balance.

🌴 Paid Vacation Days:

• 15 paid vacation days per year, with additional days increasing with tenure.

🤒 Paid Sick Days:

• 15 paid sick days per year.

🎉 Paid Holidays:

• Observation of statutory national and local holidays.

💐 Bereavement Leave:

• Supportive leave in times of personal loss.

4. Professional Development & Recognition
We invest in your continuous growth and acknowledge your contributions to Auctane's success.

📚 Education Benefits:

• Support for continuous learning and professional development.

🤝 Referral Program:

• Incentives for recommending great talent to join the team.

About Bold Business

Bold Business is an AI-first U.S.-based company building automation systems, AI agents, and production software for clients like AT&T, JP Morgan, and Verizon. We ship real systems that deliver impact — not experiments.

The Role

We’re hiring a Senior Python Engineer who can own both backend systems and the data layer behind them. This role sits between backend and data — you will build APIs, design pipelines, and ensure the data powering AI systems is clean and reliable.

You’ll work under a Lead Architect. You are expected to execute independently and own outcomes.

What You’ll Do

• Build and maintain production Python APIs (FastAPI or similar)
• Design and run data pipelines (ETL, ingestion, transformation)
• Own data quality — validation, monitoring, failure handling
• Structure data for RAG systems and AI agents
• Design and manage databases (PostgreSQL + vector DBs)
• Integrate external systems (APIs, webhooks, third-party tools)
• Debug across backend, data pipelines, and AI outputs

Non-Negotiables (Knockout Requirements)

You should not apply if you cannot clearly demonstrate all of the following:

1. Strong English communication (written and spoken)
   You can clearly explain technical concepts to non-technical stakeholders and operate in a U.S.-based team environment.
2. You have built and maintained production Python APIs
   (not tutorials or small scripts — real systems in use)
3. You have owned data pipelines end-to-end
   (ingestion → transformation → reliability in production)
4. You are strong in SQL and database design
   (schemas, performance, tradeoffs — not just basic queries)
5. You have worked with real, messy data
   (multiple sources, failures, edge cases — not clean datasets)

Required Skills

• Python (4–6 years, production backend + data work)
• FastAPI or similar frameworks
• Strong SQL and database design
• API integrations (REST, webhooks)
• Testing and clean Git workflows

AI / Data Context (Expected Working Level)

• LLM API integration (OpenAI, Anthropic, etc.)
• Understanding of how RAG systems use data
• Prompt structure and output handling
• Exposure to vector databases (pgvector, Pinecone, etc.)

Nice to Have

• LangChain, LangGraph, CrewAI
• Airflow, Prefect, or pipeline orchestration
• AWS / GCP experience
• Docker / CI-CD
• Basic BI / analytics tools

What This Role Is

• A hands-on builder role
• Ownership of backend + data layer
• High accountability, low hand-holding

What This Role Is Not

• Not a pure Data Engineer
• Not an ML research role
• Not a junior position

Final Note

• We will go deep into your past work.
• If you can clearly explain what you built, why you built it that way, and what broke — you’ll do well here.
• If not, this role will be a stretch.

Bold Business — AI-First. Delivery-First.

So, what’s the role all about?

The Professional Services Engineer (Quality Assurance and Automation) is a customer-facing, billable role responsible for delivering specialized expertise and solutions for NICE products and services. This includes implementing, configuring, and optimizing AI-driven applications, such as chatbots, knowledge assistants, and other digital solutions, for enterprise contact centers. The position combines technical and business responsibilities, requiring engagement with clients to understand their needs, provide consultative support, and deliver cutting-edge solutions.

As a rapidly growing business, we are building a professional services team here in Manila. In this new role, you will become a MPower Proactive AI Agents expert and advocate, delivering high-quality implementations, analysis, support, and many more to clients across the globe.  

Working initially with both the EU and US teams you will provide implementation and support to our new and existing clients, then when MPower Proactive AI Agents expands into APAC, the Manila team will also lead the implementation, quality assurance, support, and delivery for local clients.

Key Responsibilities

• Become an expert in Proactive AI solution design consultancy, quality assurance, automation, and implementation
• Own quality assurance for Proactive AI implementations, including test planning, execution, regression, and defect management
• Configure, test, debug, and deploy SaaS-based customer journeys aligned to client requirements
• Translate business requirements into testable specifications, including end‑to‑end integration documentation
• Validate data flows, APIs, and integrations using configuration‑based, manual, and automated testing approaches
• Analyze Proactive AI transactional data to support journey optimization and issue root-cause analysis
• Write and maintain SQL queries, JavaScript snippets, and API test scenarios as needed
• Produce clear, actionable documentation (test cases, defects, release readiness, and handover artifacts)
• Collaborate with distributed global teams across time zones
• Support client go‑lives and provide on‑call production support as required
• Contribute to onboarding and knowledge sharing for new implementation team members

Basic Qualifications

• 3+ years of experience in Quality Assurance, test automation, or implementation/consulting roles
• Strong understanding of the QA lifecycle: test planning, execution, defect management, and regression testing
• Hands-on experience designing and executing test cases with clear acceptance criteria and requirements traceability
• Exposure to test automation, configuration‑based testing, or low‑code/no‑code automation tools
• Solid analytical and debugging skills, able to triage issues across configuration, data, and integration layers
• Familiarity with Agile/Scrum workflows and Jira-based task management
• Good communications skills for walkthroughs, triages and clarifications
• Strong documentation skills for test plans, results, and defects
• Collaborative team player with experience working across distributed/global teams
• Amenable to work shifting schedules

Preferred Qualifications

If you don't have these but are willing to learn, please apply:

• Experience with data extraction, transformation, and summarization, including working with structured datasets or payloads
• Hands-on experience testing APIs (REST/JSON), including validation of responses, payload integrity, and integration workflows
• Proficiency with Excel for data manipulation; familiarity with Tableau or other BI tools for reporting or analysis
• Hands on experience utilizing AI in testing
• Understanding of data-driven testing concepts
• Exposure to multi-channel or communications platforms (SMS, Voice, Email, Chat) is a plus
• Basic familiarity with version control (Git) or CI/CD concepts is helpful but not required
• Experience with Automation and Configuration

What’s in it for you?

Join an ever-growing, market disrupting, global company where the teams – comprised of the best of the best – work in a fast-paced, collaborative, and creative environment! As the market leader, every day at NICE is a chance to learn and grow, and there are endless internal career opportunities across multiple roles, disciplines, domains, and locations. If you are passionate, innovative, and excited to constantly raise the bar, you may just be our next NICEr!

Enjoy NICE-FLEX! 

At NICE, we work according to the NICE-FLEX hybrid model, which enables maximum flexibility: 2 days working from the office and 3 days of remote work, each week. Naturally, office days focus on face-to-face meetings, where teamwork and collaborative thinking generate innovation, new ideas, and a vibrant, interactive atmosphere.

Requisition ID: 10782
Reporting into: Team Lead, Professional Services
Role Type: Individual Contributor

So, what’s the role all about?

The Professional Services Engineer (Quality Assurance and Automation) is a customer-facing, billable role responsible for delivering specialized expertise and solutions for NICE products and services. This includes implementing, configuring, and optimizing AI-driven applications, such as chatbots, knowledge assistants, and other digital solutions, for enterprise contact centers. The position combines technical and business responsibilities, requiring engagement with clients to understand their needs, provide consultative support, and deliver cutting-edge solutions.

As a rapidly growing business, we are building a professional services team here in Manila. In this new role, you will become a MPower Proactive AI Agents expert and advocate, delivering high-quality implementations, analysis, support, and many more to clients across the globe.  

Working initially with both the EU and US teams you will provide implementation and support to our new and existing clients, then when MPower Proactive AI Agents expands into APAC, the Manila team will also lead the implementation, quality assurance, support, and delivery for local clients.

Key Responsibilities

• Become an expert in Proactive AI solution design consultancy, quality assurance, automation, and implementation
• Own quality assurance for Proactive AI implementations, including test planning, execution, regression, and defect management
• Configure, test, debug, and deploy SaaS-based customer journeys aligned to client requirements
• Translate business requirements into testable specifications, including end‑to‑end integration documentation
• Validate data flows, APIs, and integrations using configuration‑based, manual, and automated testing approaches
• Analyze Proactive AI transactional data to support journey optimization and issue root-cause analysis
• Write and maintain SQL queries, JavaScript snippets, and API test scenarios as needed
• Produce clear, actionable documentation (test cases, defects, release readiness, and handover artifacts)
• Collaborate with distributed global teams across time zones
• Support client go‑lives and provide on‑call production support as required
• Contribute to onboarding and knowledge sharing for new implementation team members

Basic Qualifications

• 3+ years of experience in Quality Assurance, test automation, or implementation/consulting roles
• Strong understanding of the QA lifecycle: test planning, execution, defect management, and regression testing
• Hands-on experience designing and executing test cases with clear acceptance criteria and requirements traceability
• Exposure to test automation, configuration‑based testing, or low‑code/no‑code automation tools
• Solid analytical and debugging skills, able to triage issues across configuration, data, and integration layers
• Familiarity with Agile/Scrum workflows and Jira-based task management
• Good communications skills for walkthroughs, triages and clarifications
• Strong documentation skills for test plans, results, and defects
• Collaborative team player with experience working across distributed/global teams
• Amenable to work shifting schedules

Preferred Qualifications

If you don't have these but are willing to learn, please apply:

• Experience with data extraction, transformation, and summarization, including working with structured datasets or payloads
• Hands-on experience testing APIs (REST/JSON), including validation of responses, payload integrity, and integration workflows
• Proficiency with Excel for data manipulation; familiarity with Tableau or other BI tools for reporting or analysis
• Hands on experience utilizing AI in testing
• Understanding of data-driven testing concepts
• Exposure to multi-channel or communications platforms (SMS, Voice, Email, Chat) is a plus
• Basic familiarity with version control (Git) or CI/CD concepts is helpful but not required
• Experience with Automation and Configuration

What’s in it for you?

Join an ever-growing, market disrupting, global company where the teams – comprised of the best of the best – work in a fast-paced, collaborative, and creative environment! As the market leader, every day at NICE is a chance to learn and grow, and there are endless internal career opportunities across multiple roles, disciplines, domains, and locations. If you are passionate, innovative, and excited to constantly raise the bar, you may just be our next NICEr!

Enjoy NICE-FLEX! 

At NICE, we work according to the NICE-FLEX hybrid model, which enables maximum flexibility: 2 days working from the office and 3 days of remote work, each week. Naturally, office days focus on face-to-face meetings, where teamwork and collaborative thinking generate innovation, new ideas, and a vibrant, interactive atmosphere.

Requisition ID: 10781
Reporting into: Team Lead, Professional Services
Role Type: Individual Contributor

Our Engineering team ensures Code and Theory delivers scalable, high-performance, web applications that delight users. We always strive to balance the demanding nature of working on cutting-edge technologies with the real-world demands of high-performance web applications. Working in collaboration with our multi-disciplinary engineering, design, and quality assurance teams, you will build software that solves real-world problems for incredible clients.

Our Back-end Engineers partner with our cross-functional teams to identify and implement innovative technologies that ensure server-side applications are robust, secure, efficient, and drive business growth.

As a Lead Back-End Engineer, you will combine hands-on execution with technical leadership and system-level thinking, partnering closely with cross-functional teams.

WHAT YOU'LL DO

• Design and implement scalable, high-performance backend services and APIs, with an emphasis on reliability, security, and long-term maintainability
• Build and maintain backend services using appropriate technology stacks, with an emphasis on clean architecture and API-driven design
• Design, build, and maintain REST and GraphQL APIs to support headless, decoupled frontends and system integrations
• Optimize database schemas, queries, and caching strategies for performance, scalability, and high-traffic content sites.
• Apply backend security best practices including authentication, authorization, data protection, and vulnerability mitigation
• Support DevOps workflows including CI/CD pipelines, deployments, monitoring, and performance tuning in cloud environments
• Collaborate closely with cross-functional teams to ensure clean contracts between systems
• Lead and participate in code reviews, architectural discussions, and technical decision-making
• Actively uphold and strengthen Agile delivery practices, including sprint planning, estimation, and retrospectives
• Troubleshoot and resolve complex backend and integration issues
• Mentor junior engineers and provide technical guidance across backend-related work
• Contribute to technical documentation, playbooks, and standards to support maintainability and team scalability

WHAT YOU'LL NEED

• Bachelor’s degree in Computer Science, Engineering, or a related technical field (or equivalent practical experience)
• 7+ years of backend engineering experience across production systems
• Strong fundamentals in backend engineering concepts: APIs, data modeling, performance, security, and system design
• Experience working with modern CMS platforms (preferably in headless or decoupled setups)
• Experience with headless integration, including decoupled architecture and RESTful APIs
• Experience with Google APIs (Calendar) and Google SSO
• Experience integrating transactional email services (e.g., Mandrill or similar email delivery platforms)
• Knowledge and experience working with AWS (EC2, RDS, ElastiCache, S3, Route53, ELB).
• Understanding of web security best practices and ability to implement security measures for websites
• Familiarity with modern front-end technologies (JavaScript, TypeScript, HTML, CSS)
• Knowledge of version control systems (Git)
• Able to work with Docker and Docker compose
• Good understanding of hosting environments, server administration, and optimization techniques
• Excellent problem-solving skills and ability to debug complex issues
• Experience with Agile software development methodologies and project management tools
• Strong communication and collaboration skills, able to work with cross-functional teams
• Experience in JIRA or at least other ticket tracking tools

NICE TO HAVE

• Exposure to system modernization or migration projects (legacy to modern stacks)
• Experience with frontend frameworks (React, Next.js, Vue) to improve backend–frontend collaboration
• Familiarity with infrastructure-as-code, observability, and production monitoring tools
• Exposure to additional backend languages or paradigms (e.g., Go, Python, event-driven systems)
• Exposure to AI-related integrations or services (e.g., AI APIs, automation, or data-driven features)
• Familiarity with legacy frontend libraries and tooling (e.g., jQuery and related plugins, Bootstrap, Handlebars, Moment.js)

ABOUT US

Born in 2001, Code and Theory is a digital-first creative agency that sits at the center of creativity and technology. We pride ourselves on not only solving consumer and business problems, but also helping to establish new capabilities for our clients. With a global client roster of Fortune 100s and start-ups alike, we crave the hardest problems to solve. We have teams distributed across North America, South America, Europe, and Asia. The Code and Theory global network of agencies is growing and includes Kettle, Instrument, Left Field Labs, Create Group, Current, and TrueLogic.

Striving never to be pigeonholed, we work across every major category: from tech to CPG, financial services to travel & hospitality, government and education to media and publishing. We value the collaboration with our client partners, including but not limited to Adidas, Amazon, Con Edison, Diageo, EY, J.P. Morgan Chase, Lenovo, Marriott, Mars, Microsoft, Thomson Reuters, and TikTok.

The Code and Theory network is comprised of nearly 2,000 people with 50% engineers and 50% creative talent. We’re always on the lookout for smart, driven, and forward-thinking people to join our team.

Responsibilities

Workato is winning enterprise customers who have chosen us over entrenched incumbents. How well we support them in the first 12-24 months will determine whether they stay, expand, and advocate for us, or quietly begin evaluating alternatives. 

Workato's support organization is at an inflection point. The patterns that worked at commercial scale (first-response SLA compliance, reactive ticket management, escalation-heavy workflows) are no longer sufficient for the enterprise customers we are winning and must retain. The gap between where our support capability is today and where it needs to be for this customer tier is real, recognized, and addressable. 

We are hiring a Director, Product Support to close this gap and drive the transformation. You will inherit a team with genuine capability and promising AI initiatives, and will build on that foundation to create a support function that is a competitive differentiator, not a source of CSM overhead and customer frustration. 

If you have rebuilt support organizations, lived inside the enterprise integration world, and want to lead a transformation that directly impacts Workato's ability to win at the enterprise level, this is that role.

Support Transformation

• Position the support team as a strategic differentiator.  

• Diagnose and fix the root causes behind slow time-to-resolution and other operational issues.  

• Redesign the escalation model: raise the bar for valid escalations, fix handoff standards, and reduce process bottlenecks.

• Overhaul the Technical Assistance Request (TAR) process to match enterprise SLA expectations and eliminate CSM ticket-expediting

• Shift team culture and metrics from first-response SLA to time-to-resolution and customer outcome ownership and build accountability systems.

• Establish and operationalize the Named Engineer model — dedicated primary and backup engineers assigned to Workato’s top 20 enterprise accounts, matched to each account’s tech stack and business context.

AI-Powered Operations

• Drive in-flight AI initiatives (ticket triage, Freshdesk MCP) into production; deploy IRO deflection tooling.

• Integrate log-access MCP servers into frontline workflows; build LLM-assisted ticket enrichment for cleaner escalations.

• Use ticket data as a product intelligence pipeline and surface recurring pain points to the roadmap.

Enterprise & Developer Support

• Build specialized technical capability  focused on developers using Workato through API-first and embedded deployments, Enterprise MCP integrations, and agentic workflow implementations.

• Develop technical support for developers on API-first, Enterprise MCP, and agentic deployments; create self-serve pathways to reduce ticket volume.

• Ensure the team has depth in REST/SOAP APIs, webhooks, OAuth, event-driven architectures, and the Workato SDK and recipe framework.

• Create developer-facing support pathways including documentation, sandbox environments, and community tooling that reduce ticket volume while increasing developer satisfaction.

• Partner with Product and Engineering to close feedback loops on developer experience issues surfaced through support.

Team & Cross-Functional

• Lead and grow the Philippines-based team and a small extension team in India, recruit support engineers and architects with depth to engage enterprise technical stakeholders.

• Lead and coach the management team on operational discipline, quality management, and how they think about customer outcomes — not just metrics.  

• Run structured quality reviews with each manager as a coaching tool, not a reporting exercise.

• Build career paths, competency frameworks, and AI fluency as a core skill requirement across all support roles.

• Identify high performers early and invest in their growth. Identify low performers early and act - do not leave either group in ambiguity.

• Partner with CCE, CSM, Engineering, and Product on clean handoffs, shared accountability, and feedback loops.

Requirements

Qualifications / Experience / Technical Skills

Experience

• 10+ years in enterprise technical support or support engineering; 2–4 years in a senior manager or director-level role.

• Hands-on experience with one or more legacy iPaaS platforms. 

• Demonstrated track record improving support operations: resolution time, escalation rates, CSAT.

• Experience leading teams in the Philippines or broader APAC.

Technical Depth

• Able to review integration logs and guide engineers through root cause analysis without defaulting to engineering escalation.

• Working knowledge of REST/SOAP APIs, OAuth, SAML/SSO, event-driven architecture, cloud infrastructure (AWS/Azure/GCP).

Soft Skills / Personal Characteristics

Leadership Qualities

• Change agent. Diagnoses entrenched problems and drives transformation without burning the team.

• Outcome-oriented, data-driven, and collaborative by default across CCE, CSM, Engineering, and Product.

• Confident communicator who can represent Support with senior leadership and enterprise customer stakeholders.

(REQ ID: 2699)

About the role

The Sales Development Representative performs a high-volume of cold-call engagements, actively uses their discovery and listening skills to identify potential customers, generate net new opportunities which are passed to their region’s sales team and ensure the accuracy of SFDC data.

What will you be doing?

• Prospect, qualify and develop leads into sales-ready opportunities
  • Establish and build rapport with prospects via telephone, email, and social media channels
    • Calling Prospects/Answering Prospect Calls
  • Successfully manage and overcome sales objections
    • Emailing Prospects/Responding to Prospect Emails
  • Transform all received leads into qualified sales opportunities
  • Research target contacts and accounts
    • Target company/contact research
  • Document all activities in Salesforce and Salesloft to ensure efficient lead management
  • Capture accurate and complete prospect information.
  • Salesforce Activity Notes, Lead Stage change and Opportunity builds
• Meet or exceed monthly and quarterly new opportunity generation metrics
• Meet or exceed daily call and email metrics.

What are we looking for?

What are we looking for?

• Minimum of one (1) year experience as a Sales Development (SDR) or Business Development Representative (BDR).
• Experience with heavy outbound sales calls.
• Excellent telephone and personal demeanor
• Must have strong written and oral communication skills
• Ability to qualify account and contacts for right fit and uncover prospects potential need for our solutions
• Ability to overcome objections
• Goal oriented and self-starter

What will make you stand out?

• Bachelor’s degree in Business or related field of study a plus

The Tech

• Google Apps (Docs, Sheets, Slide, Mail, etc.)
• Working knowledge of CRMs (Salesforce preferred)

What do we offer?

🌿 1. Health & Well-being
Auctane prioritizes the health and well-being of our employees and their families.

🩺 HMO Medical Insurance:

• Tiered Maximum Benefit Limit (MBL) based on job level.
• Comprehensive coverage for the employee and up to two (2) dependents.

🦷 Dental Insurance:

• Coverage for essential dental care services.

🧠 Mental Health & Employee Assistance Program (EAP):

• Access to confidential counseling and support services for mental health and personal challenges.

🏃 Wellness Program:

• Initiatives and resources designed to promote physical and mental well-being.

2. Financial Security & Compensation Enhancements
We offer benefits aimed at providing financial stability and enhancing your overall compensation.

❤️ Life Insurance:

• Financial protection for your loved ones.

⚠️ Accidental Death and Dismemberment (AD&D) Insurance:

• Additional financial protection in the event of accidental death or dismemberment.

🍽️ Meal and Clothing Allowance:

• Up to 3,000 PHP per month for meal and clothing expenses.

🎯 Bonuses and Supplemental Income:

• Opportunity to earn extra wages through company contests and incentives.

3. Time Off & Work-Life Balance
Auctane recognizes the importance of rest and personal time for a healthy work-life balance.

🌴 Paid Vacation Days:

• 15 paid vacation days per year, with additional days increasing with tenure.

🤒 Paid Sick Days:

• 15 paid sick days per year.

🎉 Paid Holidays:

• Observation of statutory national and local holidays.

💐 Bereavement Leave:

• Supportive leave in times of personal loss.

4. Professional Development & Recognition
We invest in your continuous growth and acknowledge your contributions to Auctane's success.

📚 Education Benefits:

• Support for continuous learning and professional development.

🤝 Referral Program:

• Incentives for recommending great talent to join the team.

About the Role:

As a Forward Deployed Engineer at DevRev, you will work closely with our pre- and post-sales Customer Experience team by developing solutions over the core platform via applications written in TypeScript, JavaScript, Python, etc. One of the key functions of this role is, building the Knowledge Graph that includes integration of DevRev with other SaaS and non-SaaS systems through webhooks and APIs and/ or real-time communication architectures. You will be expected to employ your creativity and expertise to ideate and shape how AI, analytics and workflows are used in customers' processes.

What You'll Do:

• Customer-facing: 30% working directly with customers.
• Coding & Integration: 70-80% hands-on technical implementation
• Build & Deploy Solutions: Design, develop, and launch AI agents, integrations, and automations that connect DevRev with customers' existing tech stacks and workflows.
• Integrate Systems: Connect DevRev with SaaS and non-SaaS platforms through APIs, webhooks, and real-time communication architectures for seamless data flow.
• Optimize AI Performance: Apply prompt engineering, fine-tune semantic search engines, and leverage generative AI techniques to enhance agent accuracy and user experience.
• Own Data Insights: Write SQL queries, perform data analysis, and build dashboards to surface insights that drive customer decision-making.
• Prototype & Iterate: Develop rapid proofs-of-concept, conduct live technical demos, and refine solutions based on customer and stakeholder feedback.
• Lead Cross-functional Collaboration: Maintain constant communication loops with customers, engineering, product, customer success, support, and revenue teams to ensure alignment.
• Guide Technical Adoption: Learn and master new tools, then guide customers through critical workflows like code repository integrations and advanced configurations.
• Travel Ready: Willingness to travel up to 30% for on-site implementations, technical workshops, and customer engagements.

What You Bring:

• Experience: 3+ years in software development, systems integration, or platform engineering. Customer-facing experience is a plus.
• Background: Bachelor's or Master's degree in Computer Science, Engineering, or a related technical field.
• Coding Skills: Strong proficiency in TypeScript/JavaScript, Python, data structures and algorithms. (Nice to have: Go)
• Applied AI Knowledge: Familiarity with large language models (LLMs), prompt engineering, frameworks like RAG and function calling, and building evals to validate agentic AI solutions.
• Integration Expertise: Deep experience with large-scale data synchronization (one-way and two-way), API integration patterns (REST, GraphQL, webhooks), and event-driven/pub/sub architectures.
• Cloud & Deployment: Hands-on experience deploying on serverless and edge platforms (AWS Lambda, Google Cloud Functions) with modern DevOps practices (CI/CD, containers, observability).
• Data Transformation: Skilled in data mapping, schema alignment, and working with heterogeneous systems. Understanding of data modeling and graph data structures.
• Observability: Experience implementing clear logging, actionable error surfacing, and telemetry to support faster debugging and issue resolution.
• Context-Aware Systems: Familiarity with Model Context Programming (MCP) for building adaptive, context-aware integrations.
• Problem-Solving: Strong track record triaging and unblocking both technical and non-technical blockers to keep projects moving forward.
• Documentation: Experience writing concise, well-structured documentation that supports long-term team understanding and seamless onboarding.
• Communication: Strong written and verbal skills to articulate technical concepts to engineers, product teams, and business stakeholders.
  
  As part of our hiring process, shortlisted candidates will undergo a Background Verification (BGV). By applying, you consent to sharing personal information required for this process. Any offer made will be subject to successful completion of the BGV.

About the role:
As our Lead AI Test Automation Specialist, you'll develop testing strategies, evaluation frameworks, and quality metrics specifically designed for LLM-powered applications. This role requires a unique blend of QA expertise, understanding of GenAI behaviour, and automation skills to ensure our AI features are reliable, accurate, and trustworthy.

Key Responsibilities:

• • Design and implement comprehensive testing strategies for GenAI features, including conversational AI, agentic systems, and LLM-powered workflows
  • Develop automated test suites for prompt testing, including regression tests that detect unintended changes in model behaviour
  • Create evaluation frameworks to measure GenAI quality across multiple dimensions (accuracy, relevance, safety, consistency, latency)
  • Build and maintain test datasets and golden examples that represent diverse user scenarios and edge cases
  • Implement monitoring and alerting systems to detect quality degradation in production GenAI features
  • Perform adversarial testing to identify potential failures, hallucinations, biases, or security vulnerabilities in AI systems
  • Collaborate with engineers to define acceptance criteria and quality gates for AI feature releases
  • Develop tools and frameworks that make it easy for engineers to test their GenAI implementations
  • Conduct user acceptance testing and gather feedback on AI feature performance from internal users
  • Document testing procedures, known issues, and quality metrics in clear, accessible formats
  • Partner with Product and Design teams to ensure AI features meet user experience standards
  • Stay current with GenAI testing methodologies, tools, and industry best practices
    
    
  Your Qualifications
  
  
  • PRE or test engineering experience, preferably with AI/ML systems.
  • Strong understanding of GenAI technologies including LLMs, prompt engineering, and AI application patterns
  • Experience with test automation frameworks and scripting (Python, JavaScript, Selenium, Pytest)
  • Knowledge of software testing methodologies (functional, integration, regression, performance, security testing)
  • Ability to design test cases and evaluation criteria for non-deterministic systems
  • Strong analytical and problem-solving skills with attention to detail
  • Experience with API testing tools (Postman, REST Assured) and backend testing
  • Familiarity with CI/CD pipelines and automated testing integration
  • Excellent communication skills for documenting issues and collaboration
    
    
  Preferred Qualifications
  
  
  • Experience testing conversational AI, chatbots, or agentic systems
  • Knowledge of ML model evaluation metrics and techniques
  • Familiarity with LLM evaluation frameworks (LangSmith, PromptFoo, Ragas)
  • Experience with performance testing and load testing AI APIs
  • Understanding of responsible AI principles, including fairness, transparency, and safety testing
  • Background in enterprise software or SaaS QA
  • Experience with test management tools (TestRail, Zephyr, Jira)
  • Knowledge of security testing methodologies for AI systems
  • Scripting experience with Python, including working with LLM APIs
    
    
  What Makes This Role Exciting
  
  
  • Define Quality practices for GenAI applications
  • Work on cutting-edge AI technologies and help ensure they're reliable and trustworthy
  • Shape quality standards that will impact millions of enterprise users
  • Collaborate closely with engineers, data scientists, and product teams
  • Grow expertise in a highly specialized and increasingly important domain
  • Influence the entire AI product development lifecycle from design to release
  • Join a team that values quality as a first-class concern, not an afterthought

Join us in innovating our testing processes and ensuring the delivery of high-quality software products through advanced automation techniques.

About the Role:

As a Forward Deployed Engineer at DevRev, you will work closely with our pre- and post-sales Customer Experience team by developing solutions over the core platform via applications written in TypeScript, JavaScript, Python, etc. One of the key functions of this role is, building the Knowledge Graph that includes integration of DevRev with other SaaS and non-SaaS systems through webhooks and APIs and/ or real-time communication architectures. You will be expected to employ your creativity and expertise to ideate and shape how AI, analytics and workflows are used in customers' processes.

What You'll Do:

• Customer-facing: 30% working directly with customers.
• Coding & Integration: 70-80% hands-on technical implementation
• Build & Deploy Solutions: Design, develop, and launch AI agents, integrations, and automations that connect DevRev with customers' existing tech stacks and workflows.
• Integrate Systems: Connect DevRev with SaaS and non-SaaS platforms through APIs, webhooks, and real-time communication architectures for seamless data flow.
• Optimize AI Performance: Apply prompt engineering, fine-tune semantic search engines, and leverage generative AI techniques to enhance agent accuracy and user experience.
• Own Data Insights: Write SQL queries, perform data analysis, and build dashboards to surface insights that drive customer decision-making.
• Prototype & Iterate: Develop rapid proofs-of-concept, conduct live technical demos, and refine solutions based on customer and stakeholder feedback.
• Lead Cross-functional Collaboration: Maintain constant communication loops with customers, engineering, product, customer success, support, and revenue teams to ensure alignment.
• Guide Technical Adoption: Learn and master new tools, then guide customers through critical workflows like code repository integrations and advanced configurations.
• Travel Ready: Willingness to travel up to 30% for on-site implementations, technical workshops, and customer engagements.

What You Bring:

• Experience: 6+ years in software development, systems integration, or platform engineering. Customer-facing experience is a plus.
• Background: Bachelor's or Master's degree in Computer Science, Engineering, or a related technical field.
• Coding Skills: Strong proficiency in TypeScript/JavaScript, Python, data structures and algorithms. (Nice to have: Go)
• Applied AI Knowledge: Familiarity with large language models (LLMs), prompt engineering, frameworks like RAG and function calling, and building evals to validate agentic AI solutions.
• Integration Expertise: Deep experience with large-scale data synchronization (one-way and two-way), API integration patterns (REST, GraphQL, webhooks), and event-driven/pub/sub architectures.
• Cloud & Deployment: Hands-on experience deploying on serverless and edge platforms (AWS Lambda, Google Cloud Functions) with modern DevOps practices (CI/CD, containers, observability).
• Data Transformation: Skilled in data mapping, schema alignment, and working with heterogeneous systems. Understanding of data modeling and graph data structures.
• Observability: Experience implementing clear logging, actionable error surfacing, and telemetry to support faster debugging and issue resolution.
• Context-Aware Systems: Familiarity with Model Context Programming (MCP) for building adaptive, context-aware integrations.
• Problem-Solving: Strong track record triaging and unblocking both technical and non-technical blockers to keep projects moving forward.
• Documentation: Experience writing concise, well-structured documentation that supports long-term team understanding and seamless onboarding.
• Communication: Strong written and verbal skills to articulate technical concepts to engineers, product teams, and business stakeholders.
  
  As part of our hiring process, shortlisted candidates will undergo a Background Verification (BGV). By applying, you consent to sharing personal information required for this process. Any offer made will be subject to successful completion of the BGV.

Values

Here are our Company Values and we’d love to have individuals who can be a culture add to our team!

What We Offer

• Permanently Remote
• Pay wired directly to your bank account
• $50 Monthly Stipend
• Annual Bonus
• Flexible PTO
• Enjoy company time off during some of the major US Holidays
• Career fast track for performers and internal mobility
• Learn from a team of Stanford, MIT, Google and Harvard alumni

• Architect and build robust API integrations between our platform and client HR, payroll, and POS systems
• Develop and maintain reusable integration frameworks and shared libraries that accelerate delivery across the team
• Own the full software lifecycle — from design and development through testing, deployment, and production support
• Build data migration pipelines and CSV transformation solutions for enterprise onboarding
• Develop two-way payroll integrations with complex business logic and error handling
• Build and deploy custom internal tools that improve team efficiency, integration observability, and customer operations
• Own infrastructure-as-code and deployment pipelines using Terraform, GitHub Actions, and related CI/CD tooling — you ship to production, not just to staging
• Apply AI-native development practices: using LLMs and AI tooling to accelerate development cycles, generate smarter automation, and build more intelligent solutions for clients and internal teams

• Review code and provide technical guidance to junior and mid-level engineers on the PS team
• Establish and document engineering best practices, integration patterns, and internal tooling standards
• Champion AI best practices across the team — helping others understand when and how to use AI tooling effectively and responsibly
• Collaborate with Product and Engineering to surface recurring customer pain points and influence the platform roadmap

• Lead technical discovery sessions with enterprise clients to define integration scope and requirements
• Translate complex business and compliance requirements into clear technical specifications
• Serve as the senior technical voice in client conversations — able to communicate architecture decisions confidently to both technical and non-technical audiences

• Build custom reporting tools, enterprise-grade career site implementations, and AI-assisted automation for customers
• Develop internal tooling and dashboards to improve team efficiency, reduce manual work, and scale PS delivery

• Engineering Depth: You write clean, production-quality code and take ownership of what you ship. You think in systems, not just scripts.
• AI-Native: You don't just know AI exists — you actively use it. You're fluent with LLM APIs, prompt engineering, and AI-assisted development workflows, and you have strong instincts around where AI adds genuine value vs. where it introduces risk
• Backend-First, Full Stack Capable: Strong proficiency in Python and TypeScript/JavaScript; comfortable owning backend services while being capable across the stack
• Integration Expertise: Hands-on experience with REST APIs, webhooks, OAuth, and workflow automation platforms (Workato or similar)
• DevOps Fluency: You're comfortable with Terraform, GitHub Actions, and CI/CD pipelines — shipping and maintaining production infrastructure is part of your normal workflow, not an afterthought
• Technical Leadership: You've mentored engineers, led code reviews, and contributed to engineering standards — not just executed tickets
• Problem Solving: You enjoy ambiguous problems and bring structured thinking to novel technical challenges
• Communication: You can hold your own in a technical architecture conversation and turn around and explain the same concept clearly to a non-technical customer

• 5+ years of software engineering experience, with meaningful full-stack or backend depth
• Bachelor's degree in Computer Science, Software Engineering, or related field (or equivalent practical experience)
• Strong proficiency in Python and TypeScript or JavaScript
• Experience designing and consuming REST APIs at scale
• Proficiency with infrastructure-as-code (Terraform) and CI/CD pipelines (GitHub Actions or equivalent)
• Demonstrated AI-native development practices — active use of LLM APIs, AI tooling, or AI-assisted workflows in prior roles
• Familiarity with version control and collaborative development workflows (GitHub)
• Experience with workflow automation platforms (Workato, Zapier, or similar)
• Must be willing to work during US business hours

• Prior experience in SaaS implementation, professional services, or a customer-facing engineering role
• Exposure to HRIS, payroll, or POS system integrations
• Experience building and maintaining shared internal developer tooling or libraries
• Familiarity with MCP (Model Context Protocol) or agentic AI frameworks

The Role: Building the Engine for AI Transformation

Smartly’s Operations culture is evolving. We are building an intelligent, automated ecosystem that powers our entire global organization. As a Senior Solutions Engineer, you will be the primary technical partner for our AI Transformation team. While they identify strategic AI opportunities, you are responsible for the execution—building the connectors, agents, and interfaces that allow our internal teams to leverage AI in their daily work.

You will serve as a bridge between technical solutions and operational excellence. Your core responsibility involves identifying areas of inefficiency and disjointed processes ("silos") and resolving them by developing intelligent workflows, scalable internal tools, and effective code to ensure smooth, integrated operations. We are looking for a "builder" who thrives on independence and is obsessed with the "How can we do this better?" mindset.

As a Senior Solutions Engineer at Smartly, you will...

• Partner with AI Transformation team: Collaborate with the AI Transformation team to productize AI and automation prototypes, ensuring that new tools and agentic capabilities are successfully integrated into internal business processes.
• Orchestrate Internal Automations: Build and maintain a wide variety of internal tools and workflows for most teams across the company; these solutions range from traditional API-based automations to complex AI agentic workflows.
• Modernize Internal Systems: Develop and scale the internal tools and processes that enable teams to move faster, utilizing a blend of AI-driven agents and standard programmatic automations to solve operational needs.
• Own the Backend: Maintain and expand our internal microservices architecture, primarily running on TypeScript and NodeJS.
• Cloud Infrastructure Management: Independently manage and optimize our cloud infrastructure (we primarily use Google Cloud Platform), ensuring our internal tools and AI services are performant, secure, and scalable.
• Build Service Integrations: Act as the master of APIs, integrating disparate internal and external services (Salesforce, Slack, Big Query, data warehouse etc.) to create seamless data flows for both users and AI agents.

We’re definitely looking for you if you have...

• Innovative & Experimental Mindset: You are naturally curious and enjoy experimenting with new technologies. Our work involves frequent exploration of emerging tech stacks and AI libraries, so you should be comfortable navigating ambiguity and testing new tools.
• A Builder’s Background: A versatile technical background with exposure in Software Engineering, Data Engineering, or Artificial Intelligence—with a strong track record of building diverse technical solutions, internal automations, and scalable data pipelines.
• TypeScript/NodeJS Mastery: Strong proficiency in TypeScript and NodeJS (Koa/Express experience is a major plus).
• AI Implementation Experience: Proven experience building and maintaining AI agentic workflows or MCPs. You know how to leverage LLM APIs (Vertex AI/OpenAI) to build practical, task-oriented agents.
• Prompt Engineering: You have a deep understanding of prompt engineering techniques to produce high-quality, structured, and reliable outputs from LLMs. You can design, test, and iterate on prompts for complex agentic tasks.
• API Expertise: High familiarity with REST APIs and complex service-to-service integrations.
• Self-Driven Learning: The ability to dive into microservices, understand its logic, and implement modern solutions without constant supervision.
• Collaborative Mindset: The ability to translate needs from most internal teams into technical requirements that solve real-world problems for non-technical stakeholders.

Bonus Points for:

• Automation Platforms: Experience with workflow automation tools like Zapier, n8n, or similar platforms used to build and orchestrate agentic workflows.
• React Skills: Ability to build or tweak frontend admin dashboards to make your automations accessible to internal users.
• AdTech Background: Familiarity with Meta GraphAPI, TikTok Ads, or Google Ads APIs.

(Automation Engineer)

Five9 is seeking an additional member to the AI and Custom Services team within Enterprise Professional Services. The ideal candidate is a passionate, self-managed individual who delights customers with their technical and communication skills. Exploring new design patterns, pushing the boundaries of product and straddling the line between tactical and strategic are all in a typical day’s work.

You possess technical prowess to design and deliver on challenging customer requirements. You will build to customer approved design specifications efficiently using Five9’s software while always being mindful of where platform capabilities end and customization is required. You are knowledgeable of how to use AI in the contact center and ideally are familiar with Five9 Virtual Contact Center. 

Key Responsibilities:

• Engage with customers to acquire a rich understanding of their problems, needs, and goals.
• Takes the lead in requirements gathering, configuration, knowledge transfer, solution testing, production rollout, and adoption support.
• Design and configure voice and digital virtual agent applications on the Five9 IVA Studio and Virtual Contact Center platforms for each customer's unique requirements, often with integrations to customer-provides APIs
• Provide customers with configuration advice and problem resolution on Five9 product.
• Consulting engagements.
• Effectively and succinctly communicate with both internal and external stakeholders.
• Lead technical sessions and become a trusted advisor to decision makers while demonstrating mastery of the Five9 platform.
• Handle pre-sales Statement of Work requests from creation to design document handoff. Includes ability to work with a client to gather true business requirements, determine the level of effort for a project and document a target solution.

Key Requirements:

• Bachelor’s degree (or its foreign degree equivalent) in Computer Science, Engineering, a related technical discipline, or equivalent professional experience.
• Minimum of 3 to 5 years of experience in Professional Services Implementation and configuration experience in a Cloud computing or telephony environment
• Has good verbal and written communication skills (English)
• Has strong knowledge of hosted solutions (SaaS), VoIP, IVR, and Call Center skills/practices.
• Knowledgeable of Digital Engagement channels (Email, Chat, SMS)

Key Skills:

• Ability to listen to a customer’s request, separate the problem from the requested solution, visualize the available options and communicate the available options efficiently and distinctly.
• Self-starter possessing excellent time management skills. Able to manage multiple activities simultaneously while requiring little or no oversight and/or direction.
• Excellent English verbal and written skills.
• Ability to learn new skills quickly and digest new product features without assistance.
• An expert at developing positive and productive relationships with people.
• Passion for continuous improvement both technically and professionally.
• Knowledge of and experience implementing Intelligent Virtual Agents (IVAs) for both voice and digital channels and Natural Language Processing engines such as Google Dialogflow, Amazon Lex, IBM Watson, or Agent Assist platforms.
• Knowledge of modern API standards (SOAP, XML, REST, JSON) and experience integrating to them.
• Willing to travel up to 10% nationally with occasional international travel possible (valid passport required).

Preferred Skills:

• Familiarity or technical certification in CCaaS, CRM, ACD, IVR and call center practices. Includes technical certifications in any related industry such as Google Cloud Platform, Amazon Web Services or Salesforce.
• Experience working on enterprise deployments involving multiple vendors.
• A strong combination of technical call center expertise, client development, and configuration experience.
• Creativity in solution architecture and design.

Company Benefits

• Company stocks
• Annual merit increase based on performance
• 15% night shift differential pay
• Paid Leave with Cash Conversion
• HMO with free dependents
• Retirement Plan
• Life Insurance
• While on work from home setup: Internet and meal allowance are provided
• Employee Assistance Program for mental and social well-being
• Government-mandated Benefits (SSS, PhilHealth, PagIBIG, 13^th month pay, Solo parent leave, Special leave for women)

General Summary:

The Senior Salesforce Developer is a technical leader responsible developing, and delivering robust, scalable solutions on the Salesforce platform. This role partners with cross-functional teams to translate complex business requirements into secure, high-quality technical solutions, and drives best practices in development, integration, and DevOps. The ideal candidate is a hands-on expert in Apex, Lightning Web Components, and Salesforce architecture, with a passion for mentoring others and advancing the organization’s Salesforce maturity.

Essential Duties & Responsibilities:

• Design, develop, and implement scalable solutions using Apex, Lightning Web Components (LWC), Flows, and other Salesforce technologies
• Lead the technical design of integrations with external systems (REST/SOAP APIs, middleware, Platform Events).
• Ensure solutions are bulk-safe, limit-aware, and follow Salesforce governor limits and best practices
• Own technical delivery from requirements through deployment, including code reviews and release management
• Develop and maintain automated unit tests (Apex, Jest for LWC) and static analysis
• Enforce security best practices (CRUD/FLS, sharing rules, Shield, compliance frameworks such as GDPR as applicable)
• Mentor and coach junior developers, conduct code reviews, and foster a culture of continuous improvement
• Works with Change Management to communicate and define release process, identifying roll backs and pinpointing potential issues that could occur
• Works with business owners to translate functional requirements into technical requirements
• Identifies and resolves bugs in a timely manner, performing reviews after to ensure the underlying is sues are fixed
• Serve as an escalation point for complex technical issues and drive root cause analysis and resolution.
• Oversees completion of deliverables including analysis, design/ approach, and implementation using salesforce best practices, execution best practices, communication, and documentation
• Stay current with Salesforce releases, emerging technologies, and industry trends
• Transforms business needs into technical design solution options and develops demos / proof of concepts
• Authors, trains, and provides governance on all configuration projects and adherence to best practices

Knowledge, Skills, and/or Abilities Required:

• Ability to manage large projects and processes independently with limited supervision
• Recognized subject matter expert of applicable work area
• Strong data modeling, performance optimization, and security enforcement (CRUD/FLS, sharing)
• Ability to adapt and understand new technology/processes as per business requirements
• Excellent communication skills, with ability to translate business needs into technical solutions and produce clear documentation
• Thorough understanding of the Salesforce meta-data API
• Strong knowledge of Salesforce administration
• Organized, detail-oriented, and self-motivated
• Strong development skills
• Analytical with the ability to derive solutions quickly and proficiently
• Strong understanding of the core systems being supported
• Preferred: Developmental skills in APEX, JAVA, SOQL, SQL, and/or C++

Educational/Vocational/Previous Experience Recommendations:

• Bachelor’s degree in related field or equivalent business experience
• 6+ years of relevant experience
• Extensive experience with Salesforce configuration and creation of robust workflows and automation
• Various Salesforce certifications including Salesforce Platform Developer I & II, App Builder, Admin, and Cloud Certifications
• Experience with compliance frameworks (GDPR/PCI) and Salesforce Shield.

Working Conditions:

• Pune / Mumbai / Bangalore / Philippines (Hybrid)
• 0-10% travel may be required

Job Title: Lead Quality Engineer – Automation 

About InfoTrust

InfoTrust is a global, privately-owned consulting and solutions agency dedicated to unlocking the power of data to drive marketing performance and business growth. We specialize in digital analytics, media enablement, and privacy-centric solutions that help the world’s largest brands optimize their marketing strategies. Our culture is built on passion, ownership, diversity, trust, respect, and continuous growth—values that have earned us multiple "best places to work" awards, including a Great Place to Work certification and recognition as the #1 place to work in Ohio. 

About the Role

InfoTrust is seeking a Lead Quality Engineer – Automation to build and scale our quality engineering function from the ground up. As our first QA/QE hire in India, you will define automation strategy, establish best practices, and implement scalable testing frameworks that ensure the reliability, performance, and integrity of our SaaS solutions.

This is a high-impact, highly autonomous role. You won’t just execute tests—you will shape how quality is built into our engineering culture.

If you thrive in ownership, enjoy solving complex technical challenges, and want to build something foundational, this role is for you.

What You’ll Do

Build & Lead Automation Strategy

• Design, develop, and maintain scalable automation frameworks for functional, regression, API, and performance testing.
• Establish QA best practices, standards, and processes across teams.
• Drive automation-first quality strategy and continuously improve test coverage and reliability.

Engineering & Technical Execution

• Develop automated test suites using tools such as Selenium, PyTest, Cypress, Playwright, or similar.
• Integrate automated testing into CI/CD pipelines (Jenkins, GitHub Actions, Azure DevOps).
• Perform API testing using tools such as Postman, REST Assured, or equivalent frameworks.
• Validate and query data across SQL and NoSQL databases to support test scenarios and troubleshooting.
• Partner with engineering teams to ensure quality across microservices and cloud-native architectures (AWS, Azure, or GCP).

Collaboration & Quality Advocacy

• Collaborate closely with Product, Engineering, and DevOps to embed quality throughout the SDLC.
• Advocate for testability, observability, and continuous improvement.
• Identify risks early and drive proactive solutions.

You could be a great fit if:

• You have 3+ years of experience in test automation for web, API, or cloud-based systems. 
• You have proficiency in one or more programming languages, such as Python, Java, or JavaScript. 
• You have experience with cloud platforms (AWS, Azure, or GCP). 
• You have a strong understanding of databases (PostgreSQL, MySQL, MongoDB, or similar) and the ability to write SQL. 
• You have hands-on experience with CI/CD tools and version control (Git). 
• You have a solid understanding of software testing principles, QA methodologies, and SDLC. 
• You possess strong analytical and problem-solving skills. 
• You have excellent communication and teamwork abilities. 
• You have strong attention to detail with a passion for continuous improvement. 

Bonus:

• You have a Bachelor’s degree in Computer Science, Engineering, or a related field.
• Experience with containerization and orchestration (Docker, Kubernetes). 
• Familiarity with infrastructure as code and test environments in the cloud. 
• Exposure to performance testing tools (e.g., JMeter, Locust). 
• Knowledge of observability and monitoring tools (e.g., Datadog, Prometheus). 

You shouldn’t apply if:

• You prefer structured environments with predefined test plans rather than building strategy and frameworks independently.

• You are primarily focused on manual testing.

• You are uncomfortable working in a growing organization where processes are still evolving.

Why work here?

At InfoTrust, employees are deeply connected to our core values and have the opportunity to make a meaningful impact and be their best selves everyday.  Our Core Values include:

• Earn Trust: Deliver on what you promise. 
• Be Respectful: Don't be an a**hole.
• Promote Diversity: Seek understanding and be inclusive. 
• Take Ownership: There is no "they.” Take initiative.
• Grow Every Day: Learn and apply. 
• Contribute With Passion: Desire to do good. Give to grow. 

At InfoTrust, we believe our success is someone else’s miracle. Giving back to the communities in which our team members live and work is a key part of who we are;  we made this “official” with the formation of the InfoTrust Foundation, a registered 501(c)(3) nonprofit organization. Learn more here. 

Diversity is one of our six core values at InfoTrust. InfoTrust is committed to a diverse workforce and we are an equal opportunity employer. We aim to hire strong, diverse teams built from different backgrounds, experiences, and identities. We are building an inclusive, supportive place for you to do the best work of your career. Job descriptions are not perfect, and we know you may not check every box. Studies have shown that women and people of color are less likely to apply for jobs unless they meet every single qualification. Don’t let that be you—apply if you are interested!