The opportunity

Are you looking for a great career with a growing company where you can make an impact and be part of an exciting team? If you are passionate about technology and interested in joining a team of collaborative colleagues who respectfully and courageously seek to challenge the status quo, you’ve found the right place. We are looking for people who enjoy creating tools to automate processes and are passionate about finding solutions to difficult problems.

We are looking for a DevOps Engineer II to join our team. We have an “always learning” culture driven to improve both as individuals and as a team. We are a Scrum-based Agile team that strives to deliver business value quickly. Our ideal candidate must maintain a high level of ownership and see assignments through to completion.

We containerize and deploy a microservice architecture – with a technology stack that includes languages like Python, PHP, and Vue.js. – using Kubernetes (EKS) on AWS. We use MySQL, Redshift, and Redis for databases and caching. We use GitHub Actions and ArgoCD for our CI/CD pipeline. We use Cloudflare for our CDN/WAF. Do you love IaC? Because we do and use Terraform/OpenTofu to create infrastructure.

You will be responsible for engineering support, service delivery, reliability, scalability, monitoring, and creating some of our infrastructure-as-code, just to name a few key responsibilities.

Employment Level: Pro 2 - Mid-Level I   

Employment Type: Full-Time (Contract-to-Hire: 2-week evaluation period)

Location: Philippines 

Working Hours: 4 pm to 1 am PHT (Preferred 9 pm to 6 am PHT during the first 1-2 months of onboarding) 

What you'll do

• Support the Engineering teams in whatever way possible for them to be successful.
• Help with the day-to-day administration of live production systems to “keep the lights on”.
• Improve, as well as maintain, processes that utilize containerization and orchestration technologies such as Docker and Kubernetes to help us standardize and scale systems.
• Deploy and maintain critical applications on cloud-native microservices architecture.
• Design, implement, and maintain secure automation solutions for various environments.
• Increase the sophistication of our observability and alerting/escalation processes.
• Manage our continuous integration and delivery pipeline to maximize efficiency.
• Implement industry best practices for system hardening / monitoring as well as configuration management.
• Continuously evaluate existing systems for industry standards and make recommendations for improvement.
• Keep up to date on modern technologies and trends, and advocate for their inclusion within products when it makes sense.
• Help define, document, evolve, and evangelize high engineering standards and best practices across multiple areas.

Who you are

• Minimum of 2 years in a Technology role with at least 1 year experience working in a DevOps position.
• Strong experience with Linux, Kubernetes, Terraform, GitHub Actions, and Cloud systems.
• Strong programming skills in one or more scripting languages.
• Experience with AWS. And GCP experience is a plus.
• Experience with CI/CD implementation tools and understanding of CI/CD best practices.
• Experience with Infrastructure as Code (IaC) and understanding of IaC best practices.
• Ability to learn and apply new technologies through self-learning.
• Ability to retain and protect confidential material.
• Ability to thrive in a reactive environment.
• Excellent time management and planning skills are essential.
• Previous Software Engineering experience is a plus.
• Must have a working laptop/pc and internet and back-up connection
• Agile professional who excels in a fast-paced environment and thrives on continuously pivoting strategies to drive business needs forward

**The duties and responsibilities listed above describe the post as it is in general terms and are not definitive. The job holder is expected to accept any reasonable alterations that may from time to time be necessary. **

What we offer you

• Career Growth: Advance with mentorship programs, leadership academies, and opportunities to shape company culture and DEI initiatives.
• Flex Fridays: Adjust your 40-hour week to enjoy a full or half day off on Fridays.
• Remote-First Culture: Work from the comfort of your home.
• Paid Time Off: Enjoy 14 days of annual paid time off, plus all regular Philippine government-declared holidays to unwind and recharge. Plus 5 additional days after 1 year.
• Comprehensive Coverage: Full enrollment in Philippine statutory benefits: SSS, PhilHealth, and HDMF.
• Healthcare: Healthcare reimbursement to help ensure you are covered.
• De Minimis Allowance: Enjoy a monthly rice subsidy, following government guidelines.
• Wellness Perks: Access the Headspace app to support your well-being.
• Speaker Series Bonus: Present in our monthly speaker series and earn a bonus.

#LI-Remote

Work authorization

Employer work visa sponsorship and support are not provided for this role. Applicants must be currently authorized to work in the Philippines at hire and must maintain authorization to work in the Philippines throughout their employment with our company.

The opportunity

As a Senior Data Analyst on the Business Intelligence team at TechnologyAdvice, you’ll turn complex data into insights that drive smarter decisions across marketing, sales, product, and operations. You’ll build dashboards, develop custom analytics, and deliver reports that shape our strategy and help connect technology buyers with the right solutions. We’re looking for someone who’s detail-oriented, curious, technically skilled, and enjoys solving business problems with data.

Employment Level: Pro 4 - Senior 

Employment Type: Full-time

Location: Philippines 

Working Hours: 9pm to 6am PHT (APR-OCT) or 10pm to 7am PHT (NOV-MAR)

What you'll do

• Build and maintain dashboards and data tools to support business goals.
• Deliver ad hoc analyses that explain trends and assess performance.
• Conduct statistical analysis to uncover actionable insights.
• Design and analyze A/B tests and controlled experiments.
• Create predictive models to support forecasting and goal-setting.
• Collaborate with engineering on data pipelines and reporting logic.
• Work across cloud data platforms and BI tools to meet stakeholder needs.
• Partner with internal teams to understand business challenges and provide data-driven solutions.
• Identify gaps in data collection and help improve data quality and integration.
• Clean and transform raw data for use in reporting and analysis.

Who you are

• 4–6 years of analytics experience, ideally in a digital or tech-driven business.
• Bachelor's or Master's in Data Science, Business Analytics, Statistics, or related field.
• Strong SQL skills and experience working in cloud data warehouses (Snowflake, Redshift, or BigQuery).
• 2+ years of experience with BI tools like Tableau, Power BI, or Looker.
• Familiarity with Google Analytics, Tag Manager, and A/B testing tools.
• Strong problem-solving skills and ability to explain data insights to non-technical audiences.
• Experience using AI to streamline analytics work is a plus.
• Experience with data integration tools like Hevo or Fivetran is also a plus.
• Clear communication, team collaboration, and a passion for data.
• Must have a working laptop/pc and internet and back-up connection.
• Agile professional who excels in a fast-paced environment and thrives on continuously pivoting strategies to drive business needs forward.

**The duties and responsibilities listed above describe the post as it is in general terms and are not definitive.  The job holder is expected to accept any reasonable alterations that may from time to time be necessary. **

What we offer you

• Career Growth: Advance with mentorship programs, leadership academies, and opportunities to shape company culture and DEI initiatives.
• Flex Fridays: Adjust your 40-hour week to enjoy a full or half day off on Fridays.
• Remote-First Culture: Work from the comfort of your home.
• Paid Time Off: Enjoy 14 days of annual paid time off, plus all regular Philippine government-declared holidays to unwind and recharge. Plus 5 additional days after 1 year.
• Comprehensive Coverage: Full enrollment in Philippine statutory benefits: SSS, PhilHealth, and HDMF.
• Healthcare: Healthcare reimbursement to help ensure you are covered.
• De Minimis Allowance: Enjoy a monthly rice subsidy, following government guidelines.
• Wellness Perks: Access the Headspace app to support your well-being.
• Speaker Series Bonus: Present in our monthly speaker series and earn a bonus.

#LI-Remote

Work authorization

Employer work visa sponsorship and support are not provided for this role. Applicants must be currently authorized to work in the Philippines at hire and must maintain authorization to work in the Philippines throughout their employment with our company.

So, what’s the role all about?

As a rapidly growing business, we are further expanding the 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 much 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.

How will you make an impact?

• Become a subject matter expert in the MPower Proactive AI Agents solution, such as, but not limited to, data model, reporting structure, and AI-driven functionalities.
• Design, develop, and maintain reports, dashboards, and analytics tools that provide business-critical insights to internal stakeholders and external customers.
• Train team members, partners, and clients on the available data structures and reporting tools.
• Conduct research and perform data analysis to identify root causes of issues, assess impact, and uncover anomalies or inconsistencies within the data.
• Collaborate with global cross-functional teams to analyze customer journeys, identify trends, and produce insightful reports and dashboards.
• Learn and continuously adapt to modern technologies, such as, but not limited to, AI-enabled data management and automation tools.
• Participate in and lead the definition and implementation of optimization strategies, leveraging deep insights from data.
• Support data governance efforts by documenting processes, maintaining a knowledge base, and contributing to data security best practices.
• Understand, propose, improve, implement processes (what processes? Very vague)
• Write efficient and optimized SQL and scripts to extract, transform, analyze, and present data in meaningful formats.
• Contribute to building and evolving data standards, best practices, and scalable solutions for reporting and analytics.
• Take initiative in proposing and experimenting with new tools, architectures, and methodologies for data storage, processing, and visualization.
• Provide on-call support to global customers
• And other responsibilities

Have you got what it takes?

Basic Qualifications:

• 6+ years experience in a consulting / data engineering / professional services role
• 3+ years experience in senior/leadership roles
• Ability to influence stakeholders and customers on project management and related topics.
• Experience working with databases (relational and non-relational) at scale (ex: MySQL, Redshift, PostgreSQL, MongoDB, Redis, Cassandra, etc.)
• Experience working with data warehouses and data lakes, including the associated ETL, reporting and data visualization tools (example: Looker, Power BI, Tableau, etc.)
• Experience writing complex queries (SQL/NoSQL)
• Expertise, knowledge, and understanding of architectures needed to build business-centric reports from multiple data sources (ranging from basic to complex)
• Expert understanding of Professional Services Project Management Policies and Processes
• Develop processes and process improvements to ensure high-quality and cost effectiveness
• Excel in the ability to identify areas of concern based on documentation based on product knowledge, the needs of the stakeholders/customer, and other factors
• Analytical mindset with excellent problem-solving and troubleshooting skills.
• Willingness and enthusiasm to learn complex AI-driven platforms and tools.
• Ability to successfully work in a team-oriented, highly collaborative environment
• Ability to clearly communicate and present to stakeholders (internal and external)
• Amenable to work shifting schedules

Nice to Have:

• Familiarity with AI/ML-driven data solutions, or interest in learning.
• Experience working in cloud environments (Example: Azure, AWS, or GCP).
• Exposure to Python, R, or other scripting languages for data analysis.
• Understanding of data privacy, security, and governance frameworks.

Requisition ID: 9104

Reporting into: Manager, Professional Services
Role Type: Individual Contributor

So, what’s the role all about?

The Professional Services Engineer 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 CXone 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.

How will you make an impact?

• Become a subject matter expert in the MPower Proactive AI Agents solution, such as, but not limited to, data model, reporting structure, and AI-driven functionalities.
• Design, develop, and maintain reports, dashboards, and analytics tools that provide business-critical insights to internal stakeholders and external customers.
• Collaborate with clients to understand their business requirements, workflows, and data needs, translating these into effective BI solutions.
• Collaborate with global cross-functional teams to analyze customer journeys, identify trends, and build data-driven solutions.
• Learn and continuously adapt to modern technologies, such as, but not limited to, AI-enabled data management and automation tools.
• Participate in and lead the definition and implementation of optimization strategies, leveraging deep insights from data.
• Create and maintain technical documentation including data models, system architecture, and implementation guides for clients and internal teams and support data governance efforts by documenting processes, maintaining knowledge bases, and contributing to data security best practices.
• Write efficient and optimized SQL and query language scripts to extract, transform, analyze, and present data in meaningful formats.
• Troubleshoot and resolve technical issues related to BI tools, data pipelines, and system integrations during the implementation process.
• Contribute to building and evolving data standards, best practices, and scalable solutions for reporting and analytics.
• Take initiative in proposing and experimenting with new tools, architectures, and methodologies for data storage, processing, and visualization.
• Ensure the delivery of BI solutions on time, within scope, and within budget while maintaining high-quality standards.
• Share expertise and foster a collaborative work environment.
• Provide on-call support to global customers.

Have you got what it takes?

• 3+ years experience in a consulting / data engineering / professional services role.
• Experience in working with databases (relational and non-relational) at scale (ex: MySQL, PostgreSQL, MongoDB, Redis, Cassandra, etc.).
• Experience in working with data warehouse, data lakes, and the associated ETL and reporting tools (example: Looker, Power BI, Tableau, Redshift, etc.).
• Expertise, knowledge, and understanding of architectures needed to build business-centric reports from multiple data sources (ranging from basic to complex).
• Proven experience with Query Languages (SQL/NoSQL), data visualization tools (e.g., Power BI, Tableau, or Looker), and report/dashboard development.
• Analytical mindset with excellent problem-solving and troubleshooting skills.
• Willingness and enthusiasm to learn complex AI-driven platforms and tools.
• Ability to successfully work in a team-oriented, highly collaborative environment.
• Ability to clearly communicate and present to stakeholders (internal and external).
• Amenable to work shifting schedules & Hybrid (2x onsite).

Nice to have:

• Familiarity with AI/ML-driven data solutions, or interest in learning.
• Experience working in cloud environments (Example: Azure, AWS, or GCP).
• Exposure to Python, R, or other scripting languages for data analysis.
• Understanding of data privacy, security, and governance frameworks.

Requisition ID: 9424

Reporting into: Manager, Professional Services
Role Type: Individual Contributor

About Netskope

Today, there's more data and users outside the enterprise than inside, causing the network perimeter as we know it to dissolve. We realized a new perimeter was needed, one that is built in the cloud and follows and protects data wherever it goes, so we started Netskope to redefine Cloud, Network and Data Security. 

Since 2012, we have built the market-leading cloud security company and an award-winning culture powered by hundreds of employees spread across offices in Santa Clara, St. Louis, Bangalore, London, Melbourne, and Tokyo. Our core values are openness, honesty, and transparency, and we purposely developed our open desk layouts and large meeting spaces to support and promote partnerships, collaboration, and teamwork. From catered lunches and office celebrations to employee recognition events (pre and hopefully post-Covid) and social professional groups such as the Awesome Women of Netskope (AWON), we strive to keep work fun, supportive and interactive.  Visit us at Netskope Careers. Please follow us on LinkedIn and Twitter@Netskope.

Job Overview

The Netskope Sales Planning and Operations team is looking for an analyst to help us formulate and execute on our ambitious short term goals and long term objectives. This position will be responsible for providing analytical support to our go-to-market coverage models, sales quota setting, ensuring good data quality, and other highly visible strategic growth initiatives. This position will support the North American (NAM) business. Available working hours would be 10 PM to 6 AM PHT (Monday-Friday).

Role and Responsibilities

• Provide historical sales analysis by region, industry, and segment to support annual planning and quarterly forecasting
• Work with sales and sales operations leaders to construct well-balanced territories and formulate annual quotas
• Create analytics to support pricing decisions and gross margin improvements
• Support the design of customer data enrichment and governance programs
• Perform tasks related to data acquisition, validation and enrichment as they relate to Accounts, Leads and Contacts 
• Work cross-functionally within the organization to ensure data from other systems (such as marketing automation tools, sales and customer service platforms) are properly integrated with Salesforce to ensure data integrity is maintained

Qualifications/Requirements

• Bachelor’s degree
• 5-8 years of sales data analysis experience including sales forecasting, territory performance, and quota setting,
• 5-8 years of work experience as a technical data steward with a background in Data Governance Policies, Processes and Tools
• Comfortable working with multiple stakeholders in a matrixed environment
• Expert at analyzing multidimensional and hierarchical data common to sales teams
• Experience in Salesforce, Excel, 3rd Party Data Tools (e.g. Zoominfo, D&B) and Data Cleansing Tools (e.g. Ringlead, Demandtools, Openprise)
• Strong attention to detail with a focus on building standardized and consistent best practices
• Expert level spreadsheet skills
• Excellent written and verbal communication skills
• Must have the ability to work independently
• Working knowledge of JIRA or other project management tools

Preferred Qualifications

• MBA or Masters degree from a recognised and accredited university/college.
• Working knowledge of SQL and SFDC Related Objects.
• Working knowledge of online data warehouses such as Snowflake or Redshift.

#LI-CV1

Job Highlights

• Leadership Opportunities – This role will help you extend and expand your knowledge and experience in technical leadership positions. These include technical decision-making; guidance and mentorship of more junior team members; and developing relationships with project, client, and company leadership – all while remaining hands-on in your areas of expertise.
• Our technology focus is on Azure – you’ll have plenty of exciting opportunities to grow your skills in Microsoft and Azure in an environment committed to technical excellence and client experience in a very specific, defined space. Six months of experience on our team is worth years somewhere else.
• Microsoft Partnerships – Our great global relationship with Microsoft ensures that we have a pipeline of cutting-edge Azure work opportunities, and access to the teams that have built the platform. You won’t find this at other places.
• Competitive compensation package, salary, allowance, standard benefits including quarterly and annual performance-based cash bonus and other remuneration.
• Great working environment and company culture with flexible work location.

General Required Technical Skills:

• Experience leading small to medium sized technical teams (this includes work allocation/distribution to team members, technical escalation and support, representing the team in Agile ceremonies and client meetings).
• Expertise in designing and implementing logical and physical data models for cloud and hybrid data warehouse environments  
• Implementing data architectures to support a variety of data formats and structures including structured, semi-structured and unstructured data  
• Experience with multiple full life-cycle data warehouse implementations  
• Understanding of data architectures required to support data integration processing  
• Experience with data modeling technologies such as ER/Studio, ER/Win or similar  
• Experience with Microsoft Azure Data Platform services including Azure Data Lake Store, Azure Storage, Azure Synapse, Azure Data Factory, Azure SQL database, Logic Apps, APIs  
• Demonstrated ability to quickly learn, adopt and apply new technologies  
• Data profiling and creation of source to target mappings  
• Ability to provision and configure Azure data service resources 

Detailed Required Skills:

• Python & SQL Scripting
• SQL, PySpark
• General Cloud Architecture competency skillset - Capable of taking requirements and building out data pipelines
• API Knowledge is required, but preference given to candidates who can create APIs

Preferred Experience/Skills/Certifications

• Microsoft Fabric
• Microsoft Azure Cosmos DB, Data Flows, Express Route, Azure Active Directory  
• Experience creating strategies to migrate customers from on-premise environments to Azure   
• Power BI and semantic modeling  
• AWS Glue & Azure Data Factory
• AWS S3 & Azure Blob
• AWS Athena & Azure Databricks
• AWS Redshift & Azure Synapse
• AWS ECS & Azure AKS

Job Highlights

• Our technology focus is on Azure – you’ll have plenty of exciting opportunities to grow your skills in Microsoft and Azure in an environment committed to technical excellence and client experience in a very specific, defined space. Six months of experience on our team is worth years somewhere else.
• Microsoft Partnerships – Our great global relationship with Microsoft ensures that we have a pipeline of cutting-edge Azure work opportunities, and access to the teams that have built the platform. You won’t find this at other places.
• Competitive compensation package, salary, allowance, standard benefits including quarterly and annual performance-based cash bonus and other remuneration.
• Great working environment and company culture with flexible work location.

General Required Technical Skills:

• Expertise in designing and implementing logical and physical data models for cloud and hybrid data warehouse environments
• Implementing data architectures to support a variety of data formats and structures including structured, semi-structured and unstructured data
• Experience with multiple full life-cycle data warehouse implementations
• Understanding of data architectures required to support data integration processing
• Experience with data modeling technologies such as ER/Studio, ER/Win or similar
• Experience with Microsoft Azure Data Platform services including Azure Data Lake Store, Azure Storage, Azure Synapse, Azure Data Factory, Azure SQL database, Logic Apps, APIs
• Demonstrated ability to quickly learn, adopt and apply new technologies
• Data profiling and creation of source to target mappings
• Ability to provision and configure Azure data service resources

Detailed Required Skills:

• Python & SQL Scripting
• SQL, PySpark
• General Cloud Architecture competency skillset - Capable of taking requirements building out data pipelines
• API Knowledge is required, but preference given to candidates who can create APIs

Preferred Experience/Skills/Certifications:

• Microsoft Fabric
• Microsoft Azure Cosmos DB, Data Flows, Express Route, Azure Active Directory
• Experience creating strategies to migrate customers from on-premise environments to Azure
• Power BI and semantic modeling
• AWS Glue & Azure Data Factory
• AWS S3 & Azure Blob
• AWS Athena & Azure Databricks
• AWS Redshift & Azure Synapse
• AWS ECS & Azure AKS