About the Role

We’re seeking a technically fluent Customer Engineer to join our Engineering organization and serve as a critical link between Engineering and Go-to-Market (GTM) teams, including Sales Engineering, Professional Services, and Enablement.

This role is embedded within the Development organization, and focuses on helping the GTM teams understand, configure, and support deployments of our Data Security Posture Management (DSPM) platform. While the role is not directly customer-facing, it requires a deep understanding of the product and underlying technologies to ensure field teams are well-supported during pre-sales and post-sales phases.

This is an excellent opportunity for someone with a strong technical foundation who wants to stay close to the technology, without being in a traditional coding role.

What You’ll Do

• Act as a technical liaison between the Engineering team and GTM teams (Sales Engineering, Professional Services, etc.), enabling them with the product knowledge, tooling, setup and deployment support they need.
• Work closely with Engineering to understand new features, deployment requirements, and system behaviors, and translate them into actionable documentation, enablement content, demo environments and tooling for internal teams.
• Assist in internal setup and deployment of DSPM components (Kubernetes-based microservices, data connectors, APIs), and help validate internal staging/demo environments.
• Help develop internal technical resources such as playbooks, integration guides, architecture diagrams, and field enablement materials.
• Support the Go-to-Market team with API usage, scripting (e.g., Python), and basic troubleshooting, particularly during proof-of-concept or pilot phases.
• Read, interpret, and sometimes modify basic code or configuration files to help debug issues or support integration efforts.
• Validate deployment workflows across cloud platforms (e.g., AWS, GCP, Azure) and ensure alignment with field practices.

What You’ll Bring

• 3+ years of experience in a technical role within an engineering or product-focused organization (e.g., dev support, sales enablement, QA, technical consulting).
• Strong understanding of modern cloud-native stacks, including:
  - Kubernetes and containerized services
  - Cloud infrastructure (AWS/GCP/Azure)
  - Data infrastructure (e.g., SQL, data lakes, data warehouses)
• Comfort with basic scripting in languages like Python or shell scripting for automating setup, working with APIs, or testing integrations.
• Ability to read and understand application code (e.g., Python, YAML, or JSON configurations) to support basic troubleshooting and deployment workflows.
• Strong communication skills and ability to synthesize technical concepts for internal enablement and cross-functional understanding.

Bonus Skills

• Familiarity with DSPM, CSPM, or adjacent data security and privacy tools
• Prior experience in Sales Engineering enablement, solution delivery, or product support roles.
• Experience with or exposure to DevOps tools such as Helm, Terraform, Docker, and CI/CD pipelines.
  Exposure to compliance or risk management concepts (e.g., SOC 2, GDPR).
• Experience working in fast-paced, high-growth environments or with distributed technical teams.

What You’ll Get 

• Competitive compensation package
• Comprehensive health and wellness benefits
• Professional development opportunities

About the Role

Most companies treat legal research as internal homework. We turn it into product narratives, customer education, and sales momentum.

At Securiti, we are building the platform that allows enterprises to safely use data and AI while complying with global privacy and AI regulations. Our platform powers privacy and data governance programs for many of the world’s largest organizations.

As demand grows, we need a scalable way to translate global regulations into clear, usable, and market-facing content. We are looking for Marketing Legal Analysts to help power that engine.

This is an early-career role for someone who wants to work at the intersection of law, product, and marketing.

What You’ll Do

• You will help build the legal foundation behind our digital and product marketing content.

  This includes:

  • Research that directly feeds product marketing materials
  • Regulatory mappings that become customer-facing assets
  • Structured insights that power solution briefs and campaigns
  • Foundational content used in sales, marketing, and product education

  Your mission is simple: Turn legal research into content that the market can understand and act on.

• Conduct Research That Becomes Content

Research global privacy, data protection, and AI governance laws. Focus on extracting what actually matters for customers and products.

• Support Product Marketing Deliverables

Your research will directly support the creation of:

• Solution briefs
• Website content and product pages
• Implementation guides
• Compliance mappings and regulatory crosswalks
• Playbooks and best practices
• Sales enablement materials

• Translate Law Into Clear Messaging

Break down complex legal requirements into simple, structured explanations that can be used in marketing and customer-facing content.

• Create Structured, Reusable Outputs

Organize research so it can be easily converted into:

• Digital content
• Product collateral
• Campaign materials

• Collaborate Across Teams

Work closely with:

• Product Marketing
• Product
• Privacy & AI Governance team

See how your research turns into live content used by customers and sales teams.

Who You Are

You are early in your legal career and want your work to actually be used, not buried in a folder. You enjoy research, but you also like simplifying things and making them useful. You are comfortable writing in a clear, structured, and practical way. You do not need deep experience. You need curiosity, discipline, and the ability to explain things simply.

What You’ll Bring

• Law degree (LLB or equivalent) or final-year law student
• Strong research and writing skills
• Ability to simplify complex concepts
• Interest in privacy, data protection, or AI

Why This Role Matters

Enterprise buyers are trying to understand how privacy and AI laws apply to their business.

Most content in the market is either too vague or too legal to be useful.

We do it differently.

We turn regulation into clear, structured, product-aligned content that helps customers:

• Understand their obligations
• Evaluate solutions
• Make faster decisions

Your work will sit at the starting point of that entire process. You will not just research the law. You will shape how the market understands it.

Bonus Skills

• Exposure to GDPR, CCPA/CPRA, or similar frameworks
• Interest in how legal content is used in marketing or product
• Internship or academic experience involving legal research or writing
• Experience with AI tools such as Claude, Gemini, Notebook LLM

What You’ll Get 

• Competitive compensation package

• Comprehensive health and wellness benefits

• Professional development opportunities

About the Role

We’re seeking a technically fluent Customer Engineer to join our Engineering organization and serve as a critical link between Engineering and Go-to-Market (GTM) teams, including Sales Engineering, Professional Services, and Enablement.

This role is embedded within the Development organization, and focuses on helping the GTM teams understand, configure, and support deployments of our Data Security Posture Management (DSPM) platform. While the role is not directly customer-facing, it requires a deep understanding of the product and underlying technologies to ensure field teams are well-supported during pre-sales and post-sales phases.

This is an excellent opportunity for someone with a strong technical foundation who wants to stay close to the technology, without being in a traditional coding role.

What You’ll Do

• Act as a technical liaison between the Engineering team and GTM teams (Sales Engineering, Professional Services, etc.), enabling them with the product knowledge, tooling, setup and deployment support they need.
• Work closely with Engineering to understand new features, deployment requirements, and system behaviors, and translate them into actionable documentation, enablement content, demo environments and tooling for internal teams.
• Assist in internal setup and deployment of DSPM components (Kubernetes-based microservices, data connectors, APIs), and help validate internal staging/demo environments.
• Help develop internal technical resources such as playbooks, integration guides, architecture diagrams, and field enablement materials.
• Support the Go-to-Market team with API usage, scripting (e.g., Python), and basic troubleshooting, particularly during proof-of-concept or pilot phases.
• Read, interpret, and sometimes modify basic code or configuration files to help debug issues or support integration efforts.
• Validate deployment workflows across cloud platforms (e.g., AWS, GCP, Azure) and ensure alignment with field practices.

What You’ll Bring

• 3+ years of experience in a technical role within an engineering or product-focused organization (e.g., dev support, sales enablement, QA, technical consulting).
• Strong understanding of modern cloud-native stacks, including:
  - Kubernetes and containerized services
  - Cloud infrastructure (AWS/GCP/Azure)
  - Data infrastructure (e.g., SQL, data lakes, data warehouses)
  
  
• Comfort with basic scripting in languages like Python or shell scripting for automating setup, working with APIs, or testing integrations.
• Ability to read and understand application code (e.g., Python, YAML, or JSON configurations) to support basic troubleshooting and deployment workflows.
• Strong communication skills and ability to synthesize technical concepts for internal enablement and cross-functional understanding.

Bonus Skills

• Familiarity with DSPM, CSPM, or adjacent data security and privacy tools
• Prior experience in Sales Engineering enablement, solution delivery, or product support roles.
• Experience with or exposure to DevOps tools such as Helm, Terraform, Docker, and CI/CD pipelines.
  Exposure to compliance or risk management concepts (e.g., SOC 2, GDPR).
• Experience working in fast-paced, high-growth environments or with distributed technical teams.

What You’ll Get 

• Competitive compensation package

• Comprehensive health and wellness benefits

• Professional development opportunities

What this job can offer you

The Payroll Specialist Lead - Pakistan is a critical role within Remote’s dynamic global payroll organization. Nestled within our EOR and Payroll Operations Team, this role is responsible for delivering accurate, compliant payroll operations within assigned countries while also contributing to the improvement and scalability of our global payroll processes.

You will work closely with internal stakeholders across Payroll Operations, Tax, Finance, Product and Customer Success, while coordinating with diverse payroll partners where applicable.

This role is well suited for a mid-to-senior career payroll ops professional who has deep hands-on experience running payroll in complex environments and is comfortable operating in globally distributed teams.

What you bring

• Brings meaningful mid-senior career experience in Pakistani payroll operations, including hands-on responsibility for end-to-end payroll processing in Pakistan
• Has managed payroll in multi-country environments or global organizations, with exposure to different payroll systems and local regulatory frameworks.
• Demonstrates strong understanding of payroll controls, reconciliations, statutory reporting, and compliance requirements.
• Comfortable working with internal and external stakeholders in Remote’s payroll ecosystem, and coordinating cross-functional stakeholders.
• Analytical and detail-oriented, with strong problem-solving skills and the ability to manage complex payroll scenarios.
• Strong written and oral communicator, comfortable working in asynchronous and globally distributed environments.
• Takes ownership of outcomes, raises risks early, and approaches operational challenges with curiosity and accountability.
• Comfortable working in scrappy, quick-moving start-up environments.
• Proficient in payroll tools and data analysis using in-house and external platforms
• Experience working in remote or globally distributed teams is an advantage.
• Demonstrates strong fluency in English; additional languages are a plus.

Key Responsibilities 

• Ensure payroll is processed accurately, on time, and in compliance with country-specific regulations and statutory requirements.
• Own end-to-end payroll execution for assigned jurisdictions, including validation of payroll inputs, payroll calculations, and post-payroll processes.
• Act as a subject matter expert on country payroll requirements, staying up to date with legislative, tax, and regulatory developments that may impact payroll operations.
• Support the operational implementation and rollout of payroll services in new or expanding jurisdictions, ensuring payroll execution processes are effectively integrated into operational workflows.
• Serve as a key point of coordination for internal teams and external stakeholders on country payroll matters.
• Identify and resolve payroll discrepancies, operational risks, or compliance issues, exercising sound judgment when escalating complex matters.
• Contribute to the continuous improvement of payroll operational processes, identifying opportunities to streamline workflows and improve operational transparency.
• Support the development and maintenance of payroll documentation and operational knowledge to ensure processes remain clear, scalable, and aligned with internal governance requirements.
• Partner with cross-functional teams to support system enhancements, statutory updates, and operational improvements impacting payroll.
• Contribute to the adoption of automation and AI-enabled tools that improve payroll operational efficiency, accuracy, and scalability.
• Participate in testing activities related to payroll system developments, enhancements, and process improvements to ensure operational readiness.

Practicals

• You'll report to: Manager, Payroll Operations
• Team: Global Payroll Operations
• Location: Pakistan
• Start date: As soon as possible

Application process

1. Interview with recruiter
2. Interview with team members (no managers present)
3. Interview with future manager
4. Bar Raiser Interview
5. Prior employment verification check 

About the team

The Careem Data Science team’s mission is to drive competitive value from data at scale through building AI models to optimize user experiences, decision making, operational efficiencies, and lead the region’s AI ecosystem. As one of the leaders in this team, you will be at the forefront of fulfilling this mission. You will be working with and leading the top data science talent of the region, leveraging AI to solve the region’s day-to-day problems, through state-of-the-art machine learning, optimization, deep learning, and RL models, that are deployed on top of our own in-house AI platform, serving users in real-time.

What you'll do

• Build a long-term vision on how we can rethink our customer acquisition and engagement strategies, leveraging data in our decision making.
• Drive exploratory analysis to understand the ecosystem, user behavior, identify new levers to help move metrics, and build models of user behaviors for analysis and product enhancements.
• Shape and influence data/ML models and instrumentation to optimize the product experience and generate insights on new areas of opportunity and new products.
• Provide product leadership by sharing data-based recommendations to communicate state of business, root cause of change in metrics, and experimentation results influencing product and business decisions
• Implement scalable machine learning algorithms that will be used in production on big data.
• Embark on exploratory data analysis projects to achievea  better understanding of phenomena as well as to discover untapped areas of growth and optimization. 
• Answer complex analytic questions from big data sets to help Careem shape its products and services in a better way.
• Help define and track the appropriate key metrics for specific projects. 
• Design and run randomized controlled experiments, analyze the resulting data, and communicate results with other teams.
• You will always challenge the status quo and continually investigate new data processing technologies and seek to ensure that we follow the industry best practices.

What you'll need

• Experience in data mining, predictive modeling, time series analysis, machine learning, Big Data methodologies, transformation and cleaning of both structured and unstructured data.
• Advanced degree in a quantitative discipline such as Physics, Statistics, Mathematics, Engineering or Computer Science.
• Strong problem solving and coding skills.
• Solid knowledge of and experience with marketplace problems in ride hailing and delivery services. 
• Solid knowledge of AB testing, classic ML and DL
• Solid understanding of recommendations, learning to rank, uplift modeling and matching problems. 
• Fluency in English along with excellent oral and written communication skills.
• Proficiency and demonstrated experience in: Python, SQL, Spark, Hive.
• Demonstrated experience with database technologies (e.g. Hadoop, BigQuery, Amazon EMR, Hive, Oracle, SAP, DB2, Teradata, MS SQL Server, MySQL).
• Demonstrated experience with business intelligence and visualization tools (Tableau, MicroStrategy, ChartIO, Qlik) along with geospatial data processing skills is a plus.
• Knowledge of Agile methodologies.

What we’ll provide you

We offer colleagues the opportunity to drive impact in the region while they learn and grow. As a full time Careem colleague, you will be able to:

• Work and learn from great minds by joining a community of inspiring colleagues.
• Put your passion to work in a purposeful organisation dedicated to creating impact in a region with a lot of untapped potential.
• Explore new opportunities to learn and grow every day.
• Work 4 days a week in office & 1 day from home, and remotely from any country in the world for 30 days a year with unlimited vacation days per year. (If you are in an individual contributor role in tech, you will have 2 office days a week and 3 to work from home.)
• Access to healthcare benefits and fitness reimbursements for health activities including gym, health club, and training classes.

What this job can offer you

The Payroll Specialist Lead - Pakistan is a critical role within Remote’s dynamic global payroll organization. Nestled within our EOR and Payroll Operations Team, this role is responsible for delivering accurate, compliant payroll operations within assigned countries while also contributing to the improvement and scalability of our global payroll processes.

You will work closely with internal stakeholders across Payroll Operations, Tax, Finance, Product and Customer Success, while coordinating with diverse payroll partners where applicable.

This role is well suited for a mid-to-senior career payroll ops professional who has deep hands-on experience running payroll in complex environments and is comfortable operating in globally distributed teams.

What you bring

• Brings meaningful mid-senior career experience in Pakistani payroll operations, including hands-on responsibility for end-to-end payroll processing in Pakistan
• Has managed payroll in multi-country environments or global organizations, with exposure to different payroll systems and local regulatory frameworks.
• Demonstrates strong understanding of payroll controls, reconciliations, statutory reporting, and compliance requirements.
• Comfortable working with internal and external stakeholders in Remote’s payroll ecosystem, and coordinating cross-functional stakeholders.
• Analytical and detail-oriented, with strong problem-solving skills and the ability to manage complex payroll scenarios.
• Strong written and oral communicator, comfortable working in asynchronous and globally distributed environments.
• Takes ownership of outcomes, raises risks early, and approaches operational challenges with curiosity and accountability.
• Comfortable working in scrappy, quick-moving start-up environments.
• Proficient in payroll tools and data analysis using in-house and external platforms
• Experience working in remote or globally distributed teams is an advantage.
• Demonstrates strong fluency in English; additional languages are a plus.

Key Responsibilities 

• Ensure payroll is processed accurately, on time, and in compliance with country-specific regulations and statutory requirements.
• Own end-to-end payroll execution for assigned jurisdictions, including validation of payroll inputs, payroll calculations, and post-payroll processes.
• Act as a subject matter expert on country payroll requirements, staying up to date with legislative, tax, and regulatory developments that may impact payroll operations.
• Support the operational implementation and rollout of payroll services in new or expanding jurisdictions, ensuring payroll execution processes are effectively integrated into operational workflows.
• Serve as a key point of coordination for internal teams and external stakeholders on country payroll matters.
• Identify and resolve payroll discrepancies, operational risks, or compliance issues, exercising sound judgment when escalating complex matters.
• Contribute to the continuous improvement of payroll operational processes, identifying opportunities to streamline workflows and improve operational transparency.
• Support the development and maintenance of payroll documentation and operational knowledge to ensure processes remain clear, scalable, and aligned with internal governance requirements.
• Partner with cross-functional teams to support system enhancements, statutory updates, and operational improvements impacting payroll.
• Contribute to the adoption of automation and AI-enabled tools that improve payroll operational efficiency, accuracy, and scalability.
• Participate in testing activities related to payroll system developments, enhancements, and process improvements to ensure operational readiness.

Practicals

• You'll report to: Manager, Payroll Operations
• Team: Global Payroll Operations
• Location: Pakistan
• Start date: As soon as possible

Application process

1. Interview with recruiter
2. Interview with team members (no managers present)
3. Interview with future manager
4. Bar Raiser Interview
5. Prior employment verification check 

About the team

At Careem, the mission of the NextGen Programme is to develop our next generation of engineers through a structured learning journey in Clean Code, SOLID design principles, and scalable system architecture. This programme spans all areas of engineering at Careem, including Backend, Frontend, Web, Mobile, Data Analysis, MLOps, Infrastructure, Cyber Security, and QA. The goal is to build a strong foundation of engineering excellence from day one.

We are looking for a Senior Software Engineering Manager to lead a team of talented engineers and graduates who are embarking on their journey in software engineering. You’ll play a critical role in shaping the learning and technical growth of the team, mentoring them through real-world projects and helping them become world-class engineers.

You will be responsible for leading and scaling highly distributed systems, mentoring engineers in best practices, and continuously improving engineering processes. The systems you oversee will be core to Careem’s operations — powering everything from user interactions to payment processing.

What you'll do:

• Lead a team of engineers within the NextGen Programme, focusing on high-quality service delivery and strong engineering foundations.
• Drive the design, development, and deployment of scalable distributed systems in a microservices-based architecture.
• Guide and mentor engineers in applying Clean Code, SOLID principles, and test-driven development.
• Collaborate with cross-functional teams to solve technical challenges and improve engineering efficiency.
• Partner with other leaders to shape the technical roadmap and evolve the programme structure.
• Foster a strong team culture of learning, accountability, and engineering excellence.
• Maintain a high level of engagement and support across the team through regular feedback and coaching.

What you'll need

• 10+ years of experience in software development, min 3 years in a management/senior engineering team lead role.
• You have strong software engineering skills with strong competencies in data structures, algorithms, software design and OOP.
• Working knowledge of at least one of these Java, Go, Python, .NET.
• Deep understanding of how to build scalable distributed systems.
• Bachelor's degree in Computer Science, Engineering or related field, or equivalent training, fellowship, or work experience.
• You’re a leader who is passionate about growing talent.
• Demonstrate ability to run and improve technical development processes.
• Passion for developing people and building strong, collaborative teams.
• Demonstrated ability to run and improve technical development processes.

About the team

At Careem, the mission for the NextGen Programme is to help grow our engineers by learning how to write Clean Code, use SOLID principle techniques, and design reliable systems. The ultimate goal is to train new engineers to build excellent foundations with high standards. Our Programme covers vast areas in engineering:  Backend, Frontend, Web, Mobile, Data Analysis, MLOps, Infrastructure, Cyber Security and QA.

We are looking for software engineers to join our team of talented engineers that share a common interest in distributed backend systems, their scalability, and continued development. You will work alongside a top talent for an accelerated learning path. You will have access to some of the most exciting projects and advanced tech for accelerated learning and exposure.

You will be responsible for maintaining some of our services that power the Careem. Engine, scaling highly distributed systems, and continuously documenting and improving our engineering practices. These large-scale, distributed systems handle everything from user requests to payment processing.

What you'll do:

Our tech stack is Java 8 and Spring Boot, Micro-Service Architecture, SQL and no-SQL DBs and AWS infrastructure. Key responsibilities include:

• Development of our distributed backend system to meet the challenging functional, scalability, and reliability requirements for our fast-growing business.
• Maintain features and systems, with an emphasis on code quality, maintainability, readability, and testing.
• Facilitate collaboration with other engineers, product owners, and designers to solve interesting and challenging problems across our platform.
• Be a valued member of an autonomous, cross-functional agile team.
• You care about quality and you know what it means to ship high-quality code.

What you'll need:

• 2-4 Years of Experience required.
• The ideal candidate will have a passionate commitment to improving the lives of people, an insane focus on excellence and customer service, and a strong alignment with our core values: being bold, focused, agile and collaborative.

Must have:

• Bachelor's Degree in Computer Science or other related technical fields.
• Understanding of Object-oriented design, data structures, and algorithms.
• Ability to solve complex problems.
• Must be able to write clean and maintainable code (must love coding!).
• Ability to effectively articulate technical challenges and solutions; deal with loosely defined problems and fast-changing requirements & think abstractly.
• Passionate about learning new technologies and working on a product of massive scale and impact.
• Able to communicate effectively.
• Attention to detail.

Nice to have:

• Knowledge of AWS
• Knowledge of clean code principles
• Deep understanding of design patterns
• Demonstrated ability of test-driven development

Calling senior technology leaders to shape the future of engineering in Pakistan 

Are you a senior tech leader with deep roots in the Middle East & Asia, looking for a way to bring your global experience back to the region? Have you been considering a move, driven by a desire to make a lasting impact?

At Careem, our journey started with a simple purpose: to simplify and improve the lives of people in the Greater Middle East. From our beginnings as a ride-hailing service, we’ve grown into the region’s first Everything App, but our mission remains the same. We’re not just a tech company; we’re a team of builders, dreamers, and doers, working to create a better future for our region.

We’re looking to connect with senior tech professionals like you. If you’ve built and scaled complex engineering systems, platforms, or infrastructure in high-growth tech environments, we want to hear from you. Your expertise is exactly what’s needed to shape the future of engineering culture and technical foundations in the region.

We’re particularly interested in leaders who:

• Bring a product mindset and a track record of influencing roadmaps or customer experiences at scale
• Drive impact in Data & AI through applied machine learning, platformization, or agentic AI innovation
• Show passion for building long-term technical foundations and nurturing engineering culture across MENA
• Be open to relocating to Pakistan
• Be purpose-driven and excited about shaping the future of mobility, fintech, and everyday services in the region
• Bring experience in super apps, agentic AI deployment, or technology leadership in e-commerce, platforms, or startups

This is your chance to use your skills and experience to truly make a difference. We are creating a Everything App that will have a massive positive impact on our communities. We're creating income opportunities for our Captains and simplifying daily life for our customers.

This is more than a job. It's an opportunity to lead a mission that matters.

Ready to shape the future?

Apply here.

Vectara provides a scalable platform to deploy your Enterprise AI Agents and AI Assistants with Accuracy, Security, and Explainability like no other solution. Our enterprise RAG and Agentic AI Platform offers unparalleled Accuracy, Security, and Explainability by leveraging the strongest models for retrieval, embedding, reranking, and reasoning, an optimized LLM trained for quality, and advanced Hallucination Mitigation. We are the developers of the Hughes Hallucination Evaluation Model and Correction model, core to ensuring accuracy, quality, and responsible AI that is production ready. These innovations have been cited in the New York Times, Visual Capitalist, and many other leading publications. This platform has allowed us to be very successful with over 100 Enterprise clients including the likes of large US High Tech companies, military organizations, Financial services, Healthcare, and Manufacturing.

Our founding team includes industry veterans and experts in neural information retrieval and distributed systems from Google. Join us as we pursue our mission to help the world find meaning. People at Vectara are passionate about ensuring customers take advantage of breakthroughs in applied Artificial Intelligence (AI) to solve real-world technology and business problems today. Our team is a group of unquestionable all-stars in their respective fields of computer science and business from Google, Cloudera, Splunk, MongoDB, Elastic, and more.

Role Overview:
Vectara is seeking a Senior Platform Software Engineer with strong experience in modern DevOps practices and backend development. In this role, you’ll work on developing IaaC and Helm charts for deploying and managing the core infrastructure that powers our retrieval-augmented generation and agentic AI platform, as well as design and development of features in the platform. The design and deployment of the platform requires high availability, scalability, and automation. You will be part of our oncall rotation for addressing customer tickets. The role also requires basic platform and application development skills. 

You will work as an integral part of our Forward Deployed Engineering function, working with our Field Engineering team to assist with building and supporting everything from POCs to production applications used by millions of people. In doing this you will contribute to the delivery of customer satisfaction and sales outcomes for our business.

Key Responsibilities:

• Proficiency in AI-assisted coding; able to do multiple tasks at once and manage AI agents to quickly execute. 
• Drive infrastructure automation, CI/CD, and monitoring/alerting pipelines.
• Collaborate with Field Engineering teams to support PoCs, and Platform deployments in customer Cloud VPCs and on-prem. 
• Deploy, scale, and optimize ML/NLP workloads, especially model inference.
• Lead initiatives to improve system reliability, scalability, and developer experience.
• Contribute to architecture and infrastructure decisions as we scale our platform.
• Champion best practices in code quality, testing, and DevOps culture across the team.
• Design, implement, and maintain scalable and secure backend services and platform components.

Qualifications:

• 5+ years of experience as a software engineer with a focus on backend systems and platform engineering.
• At least 2 years of devops experience.
• At least 2 years of development experience.
• Deep experience with all computing environments (GCP, AWS, Onprem, or Azure).
• Strong understanding of containerization and orchestration (Docker, Kubernetes).
• Experience with observability tools (Prometheus, Grafana, ELK/EFK, etc.).

• Experience working on ML platforms or supporting ML workloads in production.
• Familiarity with data infrastructure (e.g., Kafka, Spark, Airflow).
• Proficiency in languages like Go, Python, or Java; experience with infrastructure-as-code (Terraform, Pulumi, etc.).
• Experience with providing technical support of custom-developed systems to customers.

Equity and Salary Range: 

Salary is just one component of Vectara’s employee compensation. Our full-time employees are also equity owners in the company, which although not an immediate cash component, can have positive impacts on long-term total compensation for each participating employee. We would be remiss if we didn’t highlight and celebrate our focus on engaging many of our employees in being economic co-owners of the business.

Vectara welcomes all. We value the collective wisdom of people from different backgrounds, experiences, abilities and perspectives.  We never discriminate on the basis of race, religion, national origin, gender identity or expression, sexual orientation, age, or marital, veteran, or disability status. Vectara has a positive and supportive culture—we look for people who are inventive and work to be a little better every single day. We seek to be smart, humble, hardworking and, above all, curious. After all, we are on a mission to find meaning.

About the Role:

As a Technical Program Analyst, you will report to the Manager of Technology Operations and will be responsible for overseeing the systems and tools powering our Global Solutions Engineering Organization, including Salesforce, Slack, Jira, Scoro and others. We’re looking for an experienced, dynamic, and growth-oriented individual to drive a state-of-the-art agent experience that is rooted in Salesforce and its supporting ecosystem. You're a good fit if you have an interest and aptitude in understanding the business needs deeply and designing thoughtfully for efficiency, the highest quality, and scalability. You think about the customer and user experience first as you think through solutions and help identify ways to drive improvements.

What You'll Do:

• Learn about the business needs and utilize your deep knowledge of technology to design processes and automation to create the most efficient tool configuration possible
• Participate in the evaluation and selection of technology tools used by Internal teams
• Support the members of the management team to accomplish technology goals
• Manage incoming tools/system access and configuration requests
• Triage day-to-day issues that arise for internal and external tools
• Partner with IT and engineering to implement and troubleshoot new processes and workflows

What We're Looking For:

• 5+ years of experience in a Technology operations role or as a Salesforce Business Analyst
• A deep and ever-improving understanding of Salesforce Sales Cloud and the surrounding ecosystem, including 3rd party products
• Strong project management and process improvement skills
• Effectively juggled multiple priorities in a fast-paced, dynamic environment and has a passion for learning new technologies and quickly becoming the resident expert
• Strong communication that partners effectively with different teams to drive results
• Proven experience implementing and improving systems powering Sales Engineering Teams
• Preferred one of the following certifications:
  • Salesforce Administrator
  • Salesforce Business Analyst
  • Sales Cloud Consultant

Who we are

Moniepoint is an all-in-one financial services platform for emerging markets and the second-fastest-growing company in Africa. Since 2019, Moniepoint’s technology has powered over 3 million people, offering personal and business banking, payment, credit, and business management tools to help them succeed. Moniepoint processed $182 billion in 2023 and currently processes the majority of the POS transactions in Nigeria.

About the role

Engineering at Moniepoint is an inspired, customer-focused community dedicated to crafting solutions that redefine our industry. Our infrastructure runs on some of the cool tools that excite infrastructure engineers - kubernetes, docker etc.

We also make business decisions based on the large stream of data we receive daily, so we work daily with big data, perform data analytics and build models to make sense of the noise and give our customers the best experience.

Curious about what makes Moniepoint an incredible place to work?
Check out posts on how we cultivate a culture of innovation, teamwork, and growth.

Position Overview

We are seeking an experienced Cloud Engineer to design, implement, and manage our multi-cloud infrastructure. The ideal candidate will have deep expertise in cloud platforms, container orchestration, infrastructure automation, CI/CD pipelines, and observability solutions, ensuring scalable, reliable, and cost-effective cloud operations across multiple cloud providers.

Principal Duties and Responsibilities

Cloud Infrastructure Management

• Design, deploy, and manage multi-cloud infrastructure across Google Cloud Platform (GCP), Amazon Web Services (AWS), Azure, and Oracle Cloud Infrastructure (OCI)
• Architect and implement highly available, fault-tolerant, and scalable cloud solutions
• Manage cloud resources including compute instances and networking components
• Design and implement disaster recovery and business continuity plans for cloud workloads
• Migrate on-premises applications and services to cloud environments with minimal disruption
• Optimize cloud resource utilization and implement auto-scaling policies
• Maintain comprehensive documentation of cloud architectures, configurations, and runbooks

Kubernetes & Container Orchestration

• Design, deploy, and manage production-grade Kubernetes clusters across multiple cloud providers
• Implement and maintain container orchestration strategies for microservices architectures
• Configure and manage Kubernetes resource objects
• Manage Kubernetes cluster upgrades, scaling, and performance optimization
• Troubleshoot complex container and orchestration issues in production environments
• Implement multi-cluster and multi-region Kubernetes deployments for high availability

Service Mesh & Advanced Networking

• Design, deploy, and manage Istio service mesh for microservices communication and observability
• Configure Istio traffic management, including virtual services, destination rules, and gateways
• Implement advanced traffic routing (canary deployments, A/B testing, traffic splitting) using Istio
• Deploy and manage Istio observability components (telemetry, distributed tracing, service graphs)
• Implement circuit breaking, retries, timeouts, and fault injection for resilience testing
• Configure Istio ingress and egress gateways for external traffic management
• Monitor and optimize service mesh performance and resource utilization
• Implement multi-cluster service mesh architectures across different cloud providers

Reverse Proxy & Load Balancing

• Deploy, configure, and manage HAProxy for high-performance load balancing and reverse proxy
• Implement HAProxy ACLs, backend routing, health checks, and session persistence
• Design and implement Nginx as reverse proxy for web applications and API gateways
• Configure Nginx for rate limiting and request filtering
• Implement Nginx load balancing algorithms and upstream health monitoring
• Manage Nginx Plus features for advanced traffic management and monitoring
• Optimize HAProxy and Nginx performance for high-throughput environments

Infrastructure as Code & Configuration Management

• Develop and maintain infrastructure as code using Terraform
• Create reusable, modular Terraform configurations for various cloud resources and Implement Terraform state management and remote backends
• Design and implement configuration management solutions using Ansible
• Develop Ansible playbooks and roles for automated server provisioning and configuration
• Integrate Terraform and Ansible workflows for end-to-end infrastructure automation
• Implement infrastructure version control, code review processes, and GitOps practices
• Manage infrastructure drift detection and remediation
• Create and maintain infrastructure documentation and architecture diagrams
• Implement policy-as-code using tools like OPA (Open Policy Agent) or Sentinel

CI/CD Pipeline Management

• Design, implement, and maintain continuous integration pipelines using Jenkins and Harness
• Optimize build times and pipeline efficiency
• Integrate security scanning (SAST, DAST, container scanning) into CI/CD pipelines
• Configure Jenkins jobs, pipelines, and shared libraries for automated build, configure build agents, runners, and execution environments
• Implement Harness deployment pipelines for cloud-native applications
• Integrate CI/CD pipelines with version control systems (Git, GitHub, GitLab)
• Implement continuous deployment workflows using ArgoCD for Kubernetes-based applications
• Design and implement GitOps workflows with ArgoCD for declarative application delivery
• Manage ArgoCD application definitions, sync policies and multi-cluster deployments
• Implement progressive delivery strategies (blue-green deployments, canary releases) using ArgoCD

Message Streaming & Event-Driven Architecture

• Deploy and manage Apache Kafka clusters for real-time data streaming and event-driven architectures
• Configure Kafka topics, partitions, replication factors, and retention policies
• Implement Kafka Connect for data integration with various sources and sinks
• Monitor Kafka cluster health, performance metrics, and consumer lag
• Optimize Kafka performance for high-throughput and low-latency use cases
• Troubleshoot Kafka producer and consumer issues

Database & Proxy Management

• Deploy, configure, and manage ProxySQL for MySQL load balancing and high availability
• Implement query routing, caching, and connection pooling strategies using ProxySQL
• Optimize database performance through ProxySQL query analysis and optimization
• Implement database failover and disaster recovery using ProxySQL
• Monitor ProxySQL metrics and troubleshoot connection and performance issues
• Integrate ProxySQL with database clusters and replication topologies
• Implement database access security and audit logging through ProxySQL

Cloud Networking

• Design and implement cloud networking architectures, including VPCs, subnets, and network segmentation
• Configure and manage cloud load balancers (Application Load Balancers, Network Load Balancers, Cloud Load Balancing)
• Implement VPN connections, Direct Connect/Interconnect, and hybrid cloud networking solutions
• Implement network security controls, including security groups, network ACLs, and firewall rules
• Implement network monitoring and traffic analysis
• Troubleshoot complex networking issues across multi-cloud environments
• Design and implement private connectivity between cloud providers

Secrets Management & Security

• Configure and manage HashiCorp Vault for centralized secrets management across multi-cloud environments
• Configure Vault secret engines (KV, database, PKI, AWS, GCP, Azure dynamic secrets)
• Manage Vault high availability clusters and disaster recovery procedures
• Implement dynamic database credentials and secret rotation strategies
• Manage Vault encryption as a service for application-level encryption
• Implement Vault agent and sidecar injectors for Kubernetes workloads
• Migrate secrets from legacy systems to Vault

Qualifications, Competency & Skills Required

Education & Experience

• Bachelor's degree or diploma in Computer Science, Information Technology, Engineering, or related field
• Minimum of 5 years of proven experience in cloud engineering, DevOps, or platform engineering roles
• Hands-on experience managing production workloads across multiple cloud platforms
• Relevant cloud and technology certifications are highly desirable 

Technical Skills

Cloud Platforms (Required)

• Google Cloud Platform (GCP): Deep expertise in Compute Engine, GKE, Cloud Storage, Cloud SQL, VPC, Cloud Functions, Cloud Run, IAM
• Amazon Web Services (AWS): Proficiency in EC2, EKS, S3, RDS, VPC, Lambda, ECS, CloudFormation, IAM
• Microsoft Azure: Experience with Virtual Machines, AKS, Blob Storage, Azure SQL, Virtual Networks, Azure Functions, ARM templates
• Oracle Cloud Infrastructure (OCI): Familiarity with Compute, OKE, Object Storage, networking, and OCI-specific services
• Multi-cloud architecture design and implementation experience
• Cloud migration strategies and execution (lift-and-shift, re-platforming, re-architecting)

Container & Orchestration (Required)

• Expert-level Kubernetes knowledge, including cluster architecture, networking, storage, and security
• Hands-on experience with managed Kubernetes services (GKE, EKS, AKS)
• Proficiency in Docker containerization, image optimization, and registry management
• Experience with Helm charts for application packaging and deployment
• Knowledge of container runtime environments (containerd, CRI-O)

Service Mesh & Microservices (Required)

• Istio: Deep expertise in Istio architecture, deployment, and operations
• Istio traffic management (virtual services, destination rules, gateways, service entries)
• Istio security features (mTLS, authorization policies, peer authentication, request authentication)
• Istio observability and telemetry configuration
• Multi-cluster and multi-mesh deployments
• Service mesh troubleshooting and performance optimization
• Understanding of sidecar proxy patterns and Envoy proxy
• Experience with other service mesh solutions (Linkerd, Consul Connect) is a plus

Reverse Proxy & Load Balancing (Required)

• HAProxy Advanced configuration and management for load balancing and high availability
• Nginx Expert-level configuration as reverse proxy and API gateway
• Nginx rate limiting, and performance tuning
• Nginx load balancing algorithms and upstream configurations
• Experience with Nginx modules and custom configurations
• High availability configurations using keepalived, VRRP, or similar
• Integration with Kubernetes ingress controllers (Nginx Ingress, Istio Ingress)

Infrastructure as Code (Required)

• Advanced Terraform skills for multi-cloud infrastructure provisioning
• Terraform module development, state management, and workspace strategies
• Proficiency in Ansible for configuration management and automation
• Ansible playbook development, roles, and inventory management
• Experience with version control systems (Git) and GitOps workflows
• Infrastructure testing frameworks (Terratest, Kitchen-Terraform)

CI/CD Tools (Required)

• Jenkins: Pipeline development (declarative and scripted), shared libraries, plugin management
• Harness: Deployment pipeline configuration, workflow creation, approval gates
• ArgoCD: GitOps workflows, application synchronization, multi-cluster management
• Integration of CI/CD tools with Kubernetes and cloud platforms
• Automated testing and deployment strategies
• Artifact repository management (Nexus, Artifactory, cloud-native registries)

Messaging & Streaming (Required)

• Apache Kafka architecture, cluster management, and operations
• Kafka topic design, partitioning strategies, and performance tuning
• Kafka Connect experience
• Experience with Kafka management tools (Kafka Manager, Cruise Control)
• Understanding of event-driven architectures and patterns

Database & Proxy Technologies (Required)

• ProxySQL configuration, management, and optimization
• MySQL database administration basics
• Understanding of database replication and clustering

Observability & Monitoring (Required)

• Prometheus metrics collection, PromQL, and alerting rules
• Grafana dashboard design and visualization techniques
• Log aggregation and analysis

Networking (Required)

• Deep understanding of TCP/IP, DNS, HTTP/HTTPS, and network protocols
• Cloud networking concepts (VPC, subnets, routing tables, NAT, VPN)
• Load balancing strategies and implementations
• Service discovery and DNS-based routing
• Network security and firewall configuration
• Software-defined networking (SDN) concepts

Scripting & Programming

• Proficient in scripting languages: Python, Bash
• Go or python programming basics for tooling development
• YAML and JSON for configuration management
• Understanding of software development best practices

Secrets Management (Required)

• HashiCorp Vault: Advanced knowledge of Vault architecture, deployment, and operations
• Vault authentication methods and integration with cloud providers and Kubernetes
• Vault secret engines (KV v1/v2, database, transit, cloud dynamic...

What we can offer you

• Culture -We put our people first and prioritize the well-being of every team member. We’ve built a company where all opinions carry weight and where all voices are heard. We value and respect each other and always look out for one another. Above all, we are human.
• Learning - We have a learning and development-focused environment with an emphasis on knowledge sharing, training, and regular internal technical talks.
• Compensation - You’ll receive an attractive salary, pension, health insurance, annual bonus, plus other benefits.

What to expect in the hiring process

• A technical interview with the Hiring Manager
• A behavioural and technical interview with a member of the Executive team.

Who we are

Moniepoint is an all-in-one financial services platform for emerging markets and the second-fastest growing company in Africa.
Since 2019, Moniepoint’s technology has powered over 3 million people, offering personal and business banking, payment, credit, and business management tools to help them succeed. Moniepoint processed $182 billion in 2023 and currently processes most of the POS transactions in Nigeria.

Curious about what makes Moniepoint an incredible place to work? Check out posts on how we cultivate a culture of innovation, teamwork, and growth.

About the role

As an Engineering Manager, you will drive the successful delivery and execution of projects within your teams. You will manage end-to-end technical planning, ensuring that product requirements are translated into actionable tasks, while orchestrating collaboration between various stakeholders including engineers, product managers, QA, and UX. This role requires a deep understanding of software design and development and the ability to plan, execute, and deliver product features in a timely and predictable manner. You will also be responsible for maintaining high technical standards, managing team bandwidth, and ensuring project milestones are met with efficiency and accuracy.

What you’ll get to do

• Own delivery and execution across cross-functional teams within the product area. Evaluate business and product requirements for feasibility and ensure they align with the existing product architecture, translating them into EPICs and technical stories. Work closely with Product Managers, UX Designers, and Engineers to refine and groom tasks.
• Plan and organize sprints with clearly defined goals, using project planning tools to establish timelines, and delivery milestones, and identify task dependencies early. Foster engineering processes that promote seamless collaboration and teamwork.
• Track team velocity to ensure resources are effectively allocated, balancing bandwidth with task demands. Coordinate alignment and manage dependencies across multiple stakeholders to prevent bottlenecks and ensure smooth execution.
• Contribute to critical projects by ensuring appropriate design patterns and coding techniques are applied. Remain hands-on, participating in code reviews to uphold high-quality standards.
  
• Ensure monitoring and observability are in place for all owned services, meeting defined SLIs/SLOs. Partner with Product Managers to track and publish post-deployment product metrics, ensuring transparency with key stakeholders.

To succeed in this role, you should have

• At least 8 - 10 years of experience as a Software Developer, Software Engineer, or similar role.
• 5+ years of Java and Spring Boot experience.
• A minimum of 3 years of leadership experience is a must.
• Strong understanding of agile methodologies, sprint planning, and backlog management.
• Expertise in breaking down complex product requirements into structured EPICs, Stories, and Tasks.
• Solid experience with backend technologies. Experience with frontend is a plus.
• Knowledge of project planning tools for visualizing and tracking delivery timelines.
• Familiarity with engineering metrics and monitoring tools to assess team performance and product health.
• Capability to debug complex technical issues during incidents to identify solutions and run blameless RCA sessions.
• Understanding of deployment pipelines, continuous integration (CI), continuous deployment (CD), and their corresponding metrics.
• Ability to drive alignment across diverse technical and non-technical stakeholders.
• Exceptional ability to manage dependencies, mitigate risks, and communicate clearly with stakeholders.
• Proven track record of improving team velocity and fostering efficient delivery.
• BSc in Computer Science, Engineering, or a related field

Generic Skills

• Problem-solving: Ability to assess complex problems, find solutions, and make sound decisions.
• Communication: Strong written and verbal communication skills, including technical documentation and stakeholder reporting.
• Adaptability: Able to thrive in a fast-paced, changing environment, adjusting strategies as needed.
• Attention to Detail: Meticulous in documenting technical requirements and ensuring all aspects of a project are accounted for.

Supervisory skills

• Team Management: Experience in managing and mentoring engineers, ensuring team growth and performance.
• Resource Allocation: Ability to assess bandwidth and manage resource distribution to optimize team performance.
• Feedback: Conduct regular performance reviews, providing constructive feedback and fostering a growth-oriented environment.
• Stakeholder Management: Lead project status reviews, manage expectations, and ensure smooth communication between teams and leadership.

What we can offer you

• Culture - We put our people first and prioritize the well-being of every team member. We’ve built a company where all opinions carry weight and where all voices are heard. We value and respect each other and always look out for one another. Above all, we are human.
• Learning - We have a learning and development-focused environment with an emphasis on knowledge sharing, training, and regular internal technical talks.
• Compensation - You’ll receive an attractive salary, pension, health insurance, paid leave, plus other benefits.

What to expect in the hiring process

• A preliminary phone call with one of our recruiters.
• A live coding and code review session.
• A system design and technical discussion round. 
• A project planning, execution, and product thinking round.
• A behavioral and technical interview with the hiring manager.

Moniepoint is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees and candidates.