The mission of Speechify is to make sure that reading is never a barrier to learning.

Over 50 million people use Speechify’s text-to-speech products to turn whatever they’re reading – PDFs, books, Google Docs, news articles, websites – into audio, so they can read faster, read more, and remember more. Speechify’s text-to-speech reading products include its iOS app, Android App, Mac App, Chrome Extension, and Web App. Google recently named Speechify the Chrome Extension of the Year and Apple named Speechify its 2025 Design Award winner for Inclusivity.  

Today, nearly 200 people around the globe work on Speechify in a 100% distributed setting – Speechify has no office. These include frontend and backend engineers, AI research scientists, and others from Amazon, Microsoft, and Google, leading PhD programs like Stanford, high growth startups like Stripe, Vercel, Bolt, and many founders of their own companies.

Overview

We're looking to hire for our Data side of our AI team at Speechify. This role is responsible for all aspects of data collection to support our model training operations. We are able to build high-quality datasets at petabyte-scale and low cost through a tight integration of infrastructure, engineering, and research work. We are looking for a skilled Software Engineer to join us.

What You’ll Do

• Be scrappy to find new sources of audio data and bring it into our ingestion pipeline
• Operate and extend the cloud infrastructure for our ingestion pipeline, currently running on GCP and managed with Terraform.
• Collaborate closely with our Scientists to shift the cost/throughput/quality frontier, delivering richer data at bigger scale and lower cost to power our next-generation models.
• Collaborate with others on the AI Team and Speechify Leadership to craft the AI Team’s dataset roadmap to power Speechify’s next-generation consumer and enterprise products.

An Ideal Candidate Should Have

• BS/MS/PhD in Computer Science or a related field.
• 5+ years of industry experience in software development.
• Proficiency with bash/Python scripting in Linux environments
• Proficiency in Docker and Infrastructure-as-Code concepts and professional experience with at least one major Cloud Provider (we use GCP)
• Experience with web crawlers, large-scale data processing workflows is a plus
• Ability to handle multiple tasks and adapt to changing priorities.
• Strong communication skills, both written and verbal.

What we offer

• A fast-growing environment where you can help shape the company and product.
• An entrepreneurial-minded team that supports risk, intuition, and hustle.
• A hands-off management approach so you can focus and do your best work.
• An opportunity to make a big impact in a transformative industry.
• Competitive salaries, a friendly and laid-back atmosphere, and a commitment to building a great asynchronous culture.
• Opportunity to work on a life-changing product that millions of people use.
• Build products that directly impact and support people with learning differences like dyslexia, ADD, low vision, concussions, autism, and more.
• Work in one of the fastest-growing sectors of tech, the intersection of artificial intelligence and audio.

Think you’re a good fit for this job? 

Tell us more about yourself and why you're interested in the role when you apply.
And don’t forget to include links to your portfolio and LinkedIn.

Not looking but know someone who would make a great fit? 

Refer them! 

Speechify is committed to a diverse and inclusive workplace. 

Speechify does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.

Who We Are - About NewGlobe

NewGlobe is working with visionary governments around the world to dramatically improve the quality of basic education. Founded in 2007, we partner with governments to provide integrated school management, teacher professional development, instructional design innovation, technological system support, child-centered classroom practice, and parent engagement -- all grounded in learning science -- to ensure each teacher is empowered to engage children in transformational learning, Our data-driven approach has been validated by a Nobel-winning researcher and recognition by international leaders in Education. We imagine a world where all children can access an education that unlocks their full potential.

We need bright minds who want to be part of building a new globe -- a more equitable globe -- to join us. More information: newglobe.education

Technology Group

Technology plays a critical role enabling us to provide transformative education at massive scale in highly resource constrained environments. This is one of the key elements that gives us the ability to deliver radically impactful programmes, creating brighter futures for a generation of children across the world each day. Technology spans several key functions, including product management, business intelligence, software development and IT operations.Working with us, passionate technologists have a chance to directly change the world.

About the Role

We have reached an inflection point where we need to take our data game to the next level. Instead of just providing data to our various departments, we need to start bringing to bear more sophisticated techniques to unlock the potential of our significant data sets. While we collect hundreds of thousands of data points every day from each of our programmes – from the time each teacher spends on each page of every lesson to every pupil’s answer to every question of every assessment – we are yet to fully realise the potential energy of these data sets. 

On a technical level, this shift means moving beyond traditional approaches to data engineering, replacing ETL batch processing and data warehousing with event-driven real-time data pipelines and a distributed data mesh; on an organisational level, it means reimagining business intelligence as a skill set embedded in our cross-functional delivery teams, not as a separate team with separate priorities and timelines. And it also means transforming the ways that we expose the data to our users, providing richer, more actionable interfaces.

The Senior Engineer will help to lead the charge on this transformation, bringing experience to bear, both on the systems themselves, as well as mentoring and developing other team members.

This role reports to the Business Intelligence Lead, but will routinely be embedded in cross-functional delivery teams, working collaboratively to deliver our next generation data products.

What You Will Do 

• Build next generation event-driven data processing pipelines that cleanse, enrich, and aggregate a range of different data sets as part of a globally distributed and cross-functional software development organisation
• Deploy these data pipelines in line with continuous delivery practices and principles
• Improve the scalability, stability, accuracy, and efficiency of our existing data platform - it’s not all just green field!
• Develop and mentor other members of the business intelligence department
• Monitor our data platforms in order to identify and resolve issues and ensure high-availability of data insights
• Communicate with stakeholders to develop requirements, implement solutions, and collaborate on rollouts

What You Should Have

• 5+ years of enterprise work experience in business intelligence, data engineering, and advanced analytics
• 2+ years of commercial, enterprise experience building data pipelines using Apache Spark and Python (future platform). Familiarity using these tools to consume data from RabbitMQ or Kafka is a plus.
• Experience with one or more types of NoSQL databases and data lakes
• Comfort with version control and continuous delivery
• Familiarity with relational databases, ETL, and reporting tools. Preference for Microsoft technologies (we currently use Microsoft SQL Server 2016/2019, SSIS, and SSRS)
• Fluency with warehouse design and dimension modelling (star schemas, snowflakes, etc)
• Experience or interest in results-driven, lean/agile environments
• Basic DBA skills
• Ability to prioritize and execute tasks in a fast-paced environment

What We Offer

• The opportunity to make a difference for children every day at a proven, internationally recognized, mission-driven company.
• Flexible hybrid working arrangement.
• Take the lead and help us grow our engineering team
• The opportunity to work on challenging and innovative projects

Values of Successful Employees at NewGlobe

We are looking for new joiners who are energized by our mission and share our values. 

Detailed doers, creative problem-solvers, relentless advocates,  malleable learners, data-driven decision-makers and curious investigators do well at NewGlobe. Learn more about our values and how to succeed as a job-seeker at NewGlobe on our LinkedIn page.

What to Expect from the Interview Process

We have a rigorous, merit based hiring process. The process is designed to simulate the essential parts of the job and introduce you to your role in the business should you join our team. Apply via our website.

We will never ask for payment as part of the interview process and we are committed to a fair process free of discrimination based on gender, race, ethnicity, citizenship or disability. 

Who we are

Moniepoint Inc. is Africa’s all-in-one financial ecosystem, helping 10 million businesses and individuals access seamless payments, banking, credit, and business management tools since 2019.

As Nigeria’s largest merchant acquirer, it powers most of the country’s Point of Sale (POS) transactions. Through its subsidiaries, Moniepoint Inc. processes $22 billion monthly for its customers while operating profitably.

About the role : 

At Moniepoint, data is at the core of everything we do. We are a customer-centric company, and your work will enable our teams to make informed, data-driven decisions that directly impact the success of our business. As a Data Engineering Lead, you will help craft robust, scalable systems that support our business intelligence and data-driven operations. We value leaders who are not only technically adept but also excited about mentoring others and pushing the boundaries of what’s possible with data.

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

What you will get to do

• Build and maintain robust data pipelines processing large volumes of data
• Analysis of large data sets using tools such as Python & SQL
• Update and optimize our data platform for speed, scalability and cost
• Coordinate with different functional teams to understand and meet their data needs
• Develop processes and tools to monitor and analyze model performance and data accuracy
• Solve general data-related problems
• Setting up new pipelines for the full stream/enrichment/curation process
• Upkeep of source code locations
• Investigating and utilising ML & AI to improve the cloud offering
• Development of junior staff members 

To succeed in this role, you should have

• Proven experience as a Data Engineer (5+ years, can be made up for with accomplishments)
• Strong problem solving skills
• Advanced proficiency with SQL
• Proficiency with Python
• Experience with cloud platforms (e.g. Google Cloud, AWS, Azure)
• Experience using version control tools such as git
• Excellent written and verbal communication skills
• A drive to learn and master new technologies and techniques
• A bachelor’s degree in Computer Science, Statistics, Mathematics, Engineering, or any other related field

Experience with the following would be a plus

• Data governance
• Building and deploying machine learning models
• Terraform or other infrastructure as code tools

What we can offer you

• Culture - We put our people first and prioritize the well-being of every team member. We have 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 preliminary phone call with the recruiter
• A take-home assessment 
• A technical interview with a Lead in our Engineering Team
• A behavioural and technical interview with a member of the Executive team. 

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

The mission of Speechify is to make sure that reading is never a barrier to learning.

Over 50 million people use Speechify’s text-to-speech products to turn whatever they’re reading – PDFs, books, Google Docs, news articles, websites – into audio, so they can read faster, read more, and remember more. Speechify’s text-to-speech reading products include its iOS app, Android App, Mac App, Chrome Extension, and Web App. Google recently named Speechify the Chrome Extension of the Year and Apple named Speechify its 2025 Design Award winner for Inclusivity.  

Today, nearly 200 people around the globe work on Speechify in a 100% distributed setting – Speechify has no office. These include frontend and backend engineers, AI research scientists, and others from Amazon, Microsoft, and Google, leading PhD programs like Stanford, high growth startups like Stripe, Vercel, Bolt, and many founders of their own companies.

Overview

We're looking to hire for our Data side of our AI team at Speechify. This role is responsible for all aspects of data collection to support our model training operations. We are able to build high-quality datasets at petabyte-scale and low cost through a tight integration of infrastructure, engineering, and research work. We are looking for a skilled Software Engineer to join us.

What You’ll Do

• Be scrappy to find new sources of audio data and bring it into our ingestion pipeline
• Operate and extend the cloud infrastructure for our ingestion pipeline, currently running on GCP and managed with Terraform.
• Collaborate closely with our Scientists to shift the cost/throughput/quality frontier, delivering richer data at bigger scale and lower cost to power our next-generation models.
• Collaborate with others on the AI Team and Speechify Leadership to craft the AI Team’s dataset roadmap to power Speechify’s next-generation consumer and enterprise products.

An Ideal Candidate Should Have

• BS/MS/PhD in Computer Science or a related field.
• 5+ years of industry experience in software development.
• Proficiency with bash/Python scripting in Linux environments
• Proficiency in Docker and Infrastructure-as-Code concepts and professional experience with at least one major Cloud Provider (we use GCP)
• Experience with web crawlers, large-scale data processing workflows is a plus
• Ability to handle multiple tasks and adapt to changing priorities.
• Strong communication skills, both written and verbal.

What we offer

• A fast-growing environment where you can help shape the company and product.
• An entrepreneurial-minded team that supports risk, intuition, and hustle.
• A hands-off management approach so you can focus and do your best work.
• An opportunity to make a big impact in a transformative industry.
• Competitive salaries, a friendly and laid-back atmosphere, and a commitment to building a great asynchronous culture.
• Opportunity to work on a life-changing product that millions of people use.
• Build products that directly impact and support people with learning differences like dyslexia, ADD, low vision, concussions, autism, and more.
• Work in one of the fastest-growing sectors of tech, the intersection of artificial intelligence and audio.

Think you’re a good fit for this job? 

Tell us more about yourself and why you're interested in the role when you apply.
And don’t forget to include links to your portfolio and LinkedIn.

Not looking but know someone who would make a great fit? 

Refer them! 

Speechify is committed to a diverse and inclusive workplace. 

Speechify does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.

Who we are

Moniepoint Inc. is Africa’s all-in-one financial ecosystem, helping 10 million businesses and individuals access seamless payments, banking, credit, and business management tools since 2019.

As Nigeria’s largest merchant acquirer, it powers most of the country’s Point of Sale (POS) transactions. Through its subsidiaries, Moniepoint Inc. processes $22 billion monthly for its customers while operating profitably.

About the role : 

At Moniepoint, data is at the core of everything we do. We are a customer-centric company, and your work will enable our teams to make informed, data-driven decisions that directly impact the success of our business. We’re looking for an experienced Senior Data Scientist who’s excited to solve meaningful problems, collaborate across teams, and turn complex data into clear, actionable insights. You’ll work at the intersection of data, product, and engineering to uncover insights, guide strategic decisions, and develop models that enhance user experience and business outcomes.

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

What You’ll Do

• Lead high-impact projects: Design and deliver end-to-end data science solutions that support product innovation and business strategy.
• Uncover insights: Analyze large, complex datasets to identify trends, surface opportunities, and influence key decisions.
• Build models: Develop and deploy predictive and prescriptive models using machine learning and statistical techniques.
• Enable experimentation: Design A/B tests and causal inference studies to help teams learn quickly and make informed choices.
• Collaborate cross-functionally: Work closely with product managers, engineers, and business leaders to understand goals and deliver data-driven solutions.
• Promote data fluency: Build dashboards, tools, and frameworks to enable self-service analytics and scale your impact across teams.

To succeed in this role, you should have

• 5+ years of experience as a Data Scientist, ideally in fast-paced or high-growth environments
• Proficiency in SQL and experience working with large-scale data systems (e.g., Redshift, BigQuery, Snowflake).
• Strong analytical and statistical skills; fluency in Python or R.
• Experience with machine learning libraries (e.g., scikit-learn, XGBoost) and data visualization tools (e.g., Tableau, Looker, Plotly).
• Solid understanding of experimental design, hypothesis testing, and causal inference.
• Ability to distill complex data problems into clear, actionable insights.
• BSc/MSc/PhD in a quantitative field such as Statistics, Computer Science, Mathematics, Economics, or similar.

Experience with the following would be a plus

• Experience with deep learning, NLP, or time-series forecasting.
• Knowledge of tools for building production data pipelines (e.g., Airflow, dbt).
• Familiarity with business domains like fintech, e-commerce, healthcare, etc.

What we can offer you

• Culture - We put our people first and prioritize the well-being of every team member. We have 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.
• The opportunity to drive impact through data in a high-growth environment.
• A collaborative culture with room to grow and experiment.
• Access to rich data and a modern analytics stack.

What to expect in the hiring process

• A preliminary phone call with the recruiter
• A coding exercise on HackerRank – covering core data science theory (math, statistics, linear algebra) and Python fundamentals (data structures & algorithms).
• A take-home assignment
• A technical interview with a Lead in our Engineering Team to review your take-home assignment in depth
• A behavioural and technical interview with a member of our Executive team

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

About Sand

Sand Technologies is a global Physical AI company using data and AI to make critical industries work better. We partner with governments, cities and enterprises to improve how essential systems operate across healthcare, water, energy, telecommunications and infrastructure.

Our work delivers proven real-world impact. We have built AI systems that help manage London’s water supply, supported telecom network planning across hundreds of cities, and developed digital healthcare platforms serving tens of millions of people across Africa. From intelligent command centers to AI-powered infrastructure platforms, we help organizations sense, analyze and act in complex environments.

Our people are ambitious, curious and relentlessly practical. Our teams work alongside clients in the field, solving hard problems and deploying solutions that last. With colleagues across Africa, Europe, the UK and the US, we operate across the full stack - from research and engineering to deployment and capability building.

Our mission is simple: to harness AI to solve humanity’s most pressing challenges.

About the role

Sand is scaling rapidly across Africa, partnering with Ministries of Health to deploy the Health Operating System (HOS) — a decision-support and execution platform that transforms how health systems sense, analyze, and act on data. The HOS is already operational across multiple countries, with plans to expand to 15 countries by end of 2026, supported by 80+ Forward Deployed Engineers.

As a Forward Deployed Engineer (FDE), you are the technical spearhead of our client engagement in Nigeria. Unlike our roaming FDE roles, this is a permanently embedded position. You will be based full-time within the Ministry of Health in Nigeria, becoming a long-term extension of the client's operational team. Your mandate is to build deep institutional relationships, develop comprehensive understanding of the national health system, and deliver sustained value over an extended engagement — not just rapid sprints, but lasting transformation.

This is not staff augmentation. You are an amalgamation of three roles:

1. The Software Engineer — Deep technical acumen to build and deploy production-grade solutions using Sand's product suite
2. The Product Manager — Strategic foresight to understand client problems, influence business objectives, and identify expansion opportunities
3. The Consultant — Client-facing finesse to navigate complex stakeholder relationships, manage scope, and transfer knowledge

Your primary mission is to prove our value fast, delivering functional solutions rapidly using Sand's products, playbooks, and tools, and then maturing those solutions into mission-critical infrastructure that the Ministry depends on daily. Over time, you become the institutional memory of the deployment — the person who understands the data landscape, the stakeholder dynamics, and the operational realities better than anyone.

Who We're Looking For

The Forward Deployed Engineer is a highly ambitious individual. You are someone who is deeply keen on learning — someone who dives in headfirst to solve some of the hardest, most complex problems in global health. You thrive on understanding the technology, understanding the stakeholders, understanding our product suite, and weaving all three together to deliver solutions that change how health systems operate.

This role is not for someone looking for comfort or routine. It is for someone who wants to step outside of their comfort zone, build something they can be proud of, and grow faster than they thought possible. The FDE programme is a career accelerator — an intensive rotation that exposes you to technical depth, strategic thinking, and client leadership in equal measure, all while working on problems that matter for millions of people.

For this permanently embedded role, you also need the maturity and resilience to sustain deep client relationships over months and years — not just weeks. You will become the face of Sand in Nigeria, and that requires patience, cultural fluency, and the ability to navigate institutional complexity while maintaining momentum.

Key Responsibilities

Serve as Sand's Permanent Technical Presence in Nigeria

• Embed full-time within the Ministry of Health, becoming a trusted member of the client's extended team
• Develop deep, longitudinal understanding of the national health data landscape, institutional dynamics, and operational priorities
• Build and maintain relationships across all levels of the Ministry — from frontline data officers to senior leadership
• Act as the primary technical point of contact for all Sand activities in-country, coordinating with launchers, country directors, and visiting FDE teams

Drive On-Site Value Delivery

• Rapidly unlock, explore, and integrate client data sources (e.g., DHIS2, SCADA systems, network management platforms, operational databases)
• Understand client problems through prototyping and rapid value delivery — deploying POCs and MVPs using Sand's product components and playbooks
• Transition initial solutions into hardened, production-grade systems that the Ministry relies on daily
• Own the long-term health of deployed solutions — monitoring adoption, troubleshooting issues, and iterating based on user feedback
• Deliver and track value generated through deployment of Sand products

Enable Product-Led Growth

• Lead with Sand's existing product suite — know the products by heart and where each solution is most effective for the domain you're deployed in
• Document learnings, client challenges, and successful solutions as reusable patterns for the broader FDE community
• Drive discovery and expansion by uncovering new opportunities on the ground

Build Local Capacity and Sustainability

• Work alongside Ministry teams to co-create solutions and progressively transfer knowledge, ensuring they can operate and maintain systems independently
• Identify, recruit, and mentor local data engineers, scientists, and analysts to build sustainable in-country capacity
• Develop training materials and documentation tailored to the local context, language, and skill level
• Be the continuity that ensures handover isn't a cliff — you bridge the gap between Sand's deployment and the Ministry's long-term ownership

Feed the Platform Feedback Loop

• Channel field learnings back to improve the core product through structured mechanisms (Technical Deep Dives, Solution Swarms, pattern documentation)
• Turn "gravel roads" into "paved superhighways" — document solution patterns so the next FDE can move faster
• Contribute field feedback that influences 30% of the product roadmap

Requirements — Essential

• Bachelor's degree in Computer Science, Engineering, Information Systems, or related technical field
• 5+ years of experience in software engineering, data engineering, data science, system deployment, or technical leadership
• Proficiency in at least one of: Python, SQL/PostgreSQL, JavaScript — with ability to write production-grade code
• Strong problem-solving skills with a bias toward action and rapid prototyping
• Excellent communication and stakeholder management skills — comfortable presenting to senior government or corporate stakeholders and translating between technical and non-technical audiences
• Experience working with or deploying to government, public sector, or large institutional clients
• Proven ability to lead local technical teams and build capacity
• Willingness to relocate and be permanently based in Nigeria for the duration of the engagement (12-24+ months)
• Language: Local language proficiency is a significant advantage

Requirements — Preferred

• Experience with data integration, ETL pipelines, and working with diverse data sources
• Experience in one or more of Sand's focus domains: health informatics/digital health, water utility operations, telecommunications network operations, or energy systems
• Familiarity with domain-specific platforms (e.g., DHIS2, OpenMRS for health; SCADA, GIS for water/energy; OSS/BSS for telecom)
• Experience with BI and dashboarding tools, particularly Apache Superset
• Experience with data transformation tools such as dbt or Airflow
• Comfort working with data dictionaries, reporting requirements, and identifying common data quality issues
• Knowledge of data security, privacy, and interoperability standards (e.g., FHIR for healthcare, GDPR, local data sovereignty requirements)
• Experience operating in resource-constrained environments (unreliable power, limited connectivity)

Work Environment

This is a permanently embedded role. You will work on-site at the Ministry of Health in Nigeria 4 days per week, with 1 day for focused remote work, internal collaboration, and knowledge sharing with the broader FDE community. You should expect to be based in Nigeria for a minimum of 12-24 months.

You must be self-driven, comfortable operating as Sand's primary technical representative in-country, and disciplined with online collaboration tools to stay connected with the broader Sand team across geographies. Cultural sensitivity, adaptability, and genuine interest in the local context are essential — you are not passing through, you are putting down roots.

About One Acre Fund

Founded in 2006, One Acre Fund equips 5.5 million smallholder farmers to make their farms more productive. Across nine countries that together are home to two-thirds of Africa's farmers, we provide high-quality farm supplies, tree seedlings, accessible credit, modern agronomic training, and a wide range of other agricultural services. On average, this model enables any farmer to increase their income and assets on supported land by more than 35 percent, while permanently improving their resilience. This is all made possible by our team of 9,000+ full-time staff, drawn from diverse backgrounds and professions. To learn more, please see our Why Work Here blog post.

The Nigeria program, established in 2018, is headquartered in Minna, Niger state. We're currently serving over 100,000 unique farmers across the state via our inputs on credit 'Core' program, inputs on cash 'Retail' program, and have a free tree seedling distribution 'Agroforestry' program. To learn more about our work, look at our Nigeria program blog.

About the Role

Seeking a skilled Data Analyst with 3+ years’ experience to lead analytics projects, build dashboards, and turn complex datasets into insights that drive One Acre Fund Nigeria’s growth and impact for smallholder farmers.

Responsibilities

• Design and lead medium- and high-complexity data projects.
• Plan and execute data projects aimed at answering big questions and solving difficult problems.
• Coordinate with stakeholders to define project scope, timelines, division of responsibility, and definition of success.
• Build and maintain medium- and high-complexity reports and dashboards
• Build workflows to automate repetitive tasks and reduce TAT spent on manual work
• Evaluate and communicate data quality limitations.
• Build reports according to our needs.
• Ensure existing reports on various platforms - Power BI, Superset, etc. – are constantly up to date.

Career Growth and Development

We have a strong culture of constant learning and we invest in developing our people. You’ll have weekly check-ins with your manager, access to mentorship and training programs, and regular feedback on your performance. We hold career reviews every six months, and set aside time to discuss your aspirations and career goals. You’ll have the opportunity to shape a growing organization and build a rewarding long-term career.

Qualifications

Across all roles, these are the general qualifications we look for. For this role specifically, you will have:

• Highly developed conceptual reasoning capabilities, analytical and problem solving skills with proven ability to break down and frame strategic problems
• 2+ years of experience in data analytics
• SQL and Python or R competence
• Hands-on with workflow tools such as Zapier, Apps Script, or basic Python/SQL for data manipulation.
• Experience with data storytelling
• Knowledge of ETL ideas, tools, and data structures

Preferred Start Date

As soon as possible

Job Location

Abuja, Nigeria

Benefits

Health insurance, paid time off 

Eligibility

This role is only open to citizens or permanent residents of Nigeria.

Application Deadline

17 June 2026. Please note that we hire on a rolling basis which means that applications are reviewed and processed on a continuous basis until a hire is made.

One Acre Fund never asks candidates to pay any money or pay for tests at any stage of the interview process. Official One Acre Fund emails will always arrive from an @oneacrefund.org address. Please report any suspicious communication here (globalhotline@oneacrefund.org), but do not send applications or application materials to this email address.

Diversity, Equity, Inclusion (DEI), and anti-racism are deeply connected to our organization’s mission and purpose. One Acre Fund aspires to build a culture where all staff feel consistently valued, represented, and connected – so that our team can thrive as professionals, and achieve exceptional impact for the farmers we serve.

We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, marital status, disability, gender, gender identity or expression. We are proud to be an equal opportunity workplace.

The Role

Telnyx infrastructure team is building a next-generation platform that spans across multiple cloud providers and multiple continents. We leverage the Telnyx private backbone network with cross-connects to major cloud providers like AWS, Azure, GCP, and IBM Cloud to build a cloud-agnostic, highly available platform. With our lean team, we're currently running infrastructure in 10 PoPs and 3 continents.

In This Role You Will

• Design, develop, and deploy scalable solutions for managing databases like PostgreSQL, MySQL, Cassandra, Kafka, RabbitMQ, Redis, and others, both in virtualized environments and Kubernetes clusters.
• Collaborate with engineering to identify and resolve pain points in managing large-scale, high-availability database infrastructure.
• Lead the migration of existing database services from VMs to Kubernetes, ensuring minimal downtime and seamless transitions.
• Support disaster recovery, backup strategies, and performance tuning for on-premise database systems.
• Implement and manage observability, logging, and alerting systems. 

Must-Have Experience:

• 3+ years of professional experience in infrastructure operations, especially in Linux-based systems.
• Expertise in at least one deployment and orchestration technology (Kubernetes, Ansible, or Terraform), with a focus on deploying and managing stateful applications
• Skills in scripting languages such as Bash, Python, or similar, to automate workflows and manage infrastructure.
• Hands-on experience managing at least one relational databases like PostgreSQL or MySQL

You’d Be A Good Fit If You Have

• Experience with non-relational databases such as Cassandra, OpenSearch, or other distributed data stores.
• Familiarity with streaming and messaging platforms like Kafka or RabbitMQ, including scaling and monitoring in a distributed setup.
• Proficiency in observability tools like Prometheus, Grafana, ELK stack, or others to ensure system performance and reliability.

Bonus Points For:

• Knowledge of service discovery tools like Consul, or similar technologies, would be a great advantage

Growth Opportunities: 

• Act as a strength multiplier to product engineering efforts. 
• Learn about every technology stack used at Telnyx. 
• Work at the intersection of the social and the technical, with growth opportunities in both.

#LI-KG1

#LI-REMOTE

About Moniepoint

Everyone has a dream, and achieving that is key to their happiness. Moniepoint Inc is on a mission to provide financial happiness for people of the world by powering the dreams of businesses, their employees and customers. Since 2015, we have grown to 1500 employees and process over $100 billion annually for 1.8 million merchants through our all-in-one digital financial services platform. Moniepoint Inc through its subsidiaries which include Moniepoint MFB and TeamApt ltd offers payments, banking, credit and business management tools. We currently process the majority of the POS transactions in Nigeria and are Africa’s second-fastest-growing fintech.

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

At Moniepoint, data is the lifeblood of our financial operating system. The Head of Data Governance is a senior leadership role responsible for ensuring that this lifeblood is high-quality, secure, and accessible. You will architect and champion the enterprise-wide data governance framework, transforming how 13 million+ people’s data is managed and protected.
Reporting to the Head of Enterprise Data, you aren't just a policy writer; you are a cultural catalyst. You will lead a "virtual team" of Data Stewards across the company, ensuring that while they sit within diverse units like Finance or Sales, they operate with a unified, gold-standard approach to data accountability.

About You

The Architect: You don't just see data; you see the structures that make it reliable. You enjoy building blueprints that balance strict compliance with the speed required by a fast-growing fintech.
The Influencer: You excel in a "Hub and Spoke" model. You can lead and inspire teams that don’t report to you directly, turning departmental data stewards into a cohesive community.
The Tech-Fluent Leader: You speak "Engineering" as well as you speak "Business." You understand how to automate governance so it becomes a feature of the workflow, not a bottleneck.
Ethical Guardian: You are passionate about data privacy (GDPR/NDPR) and believe that responsible data management is a competitive advantage, not just a regulatory chore.

What you will get to do:

1. Strategic Leadership & Framework Design

• Governance Roadmap: Develop and execute a long-term strategy that aligns with Moniepoint’s mission to build the financial OS for emerging markets.
• Policy & Standards: Author and maintain global policies (Privacy, Retention, Naming Conventions) that are clear, actionable, and "Regular Guy" friendly.
• Operating Model: Define our domain-driven structure and clarify data ownership across the company to eliminate ambiguity.

2. Functional Leadership of the Stewardship Team

• Orchestration: Direct the strategic priorities of Business Unit Data Stewards, ensuring they have the tools and training to succeed.
• Community Building: Create a "Data Governance Academy" to onboard, certify, and mentor stewards across the organization.
• KPI Alignment: Set the functional goals that define what "good" looks like for data quality within each business unit.

3. Tech Stack & Automation Ownership

• Platform Strategy: Select and manage our governance platforms (e.g., Atlan, Collibra, or Microsoft Purview), ensuring they integrate seamlessly with our data lake.
• Metamodel Design: Configure tools to link business terms to physical technical assets, creating a transparent data lineage.
• Governance-as-Code: Partner with Data Engineering to automate quality checks and PII masking within the CI/CD pipeline.

4. Risk, Compliance & Culture

• Enterprise DQ Reporting: Build "Data Health Dashboards" for the Executive team to provide visibility into our data reliability.
• Change Management: Lead the cultural shift from "data is IT’s problem" to "data is a strategic business asset."
• Literacy Programs: Develop workshops to empower non-technical staff to read, interpret, and respect data.

Qualifications:

• Experience: 9+ years of leadership experience in Data Governance, Data Engineering, or Data Strategy within a high-growth environment.
• Technical Proficiency: Advanced SQL and Python skills are essential. You should be comfortable auditing a data platform directly and working with APIs for automation.
• Framework Expertise: Deep knowledge of modern data architectures (Data Mesh, Data Vault 2.0) and how to apply governance within them.
• Regulatory Knowledge: Intimate familiarity with NDPR, GDPR, and fintech-specific data regulations.
• Education: A Bachelor degree in Computer Science, Engineering, Mathematics, or a related quantitative field (or equivalent practical experience).

What Success Looks Like

• Initial 6 Months: A defined Data Governance roadmap is approved, and the first "Data Health Dashboard" is live for critical data elements.
• The 1-Year Mark: Every major business unit has a certified Data Steward, and automated lineage is active for our core financial products.
• Culture: Data Governance is no longer viewed as a "blocker" but as the foundation that allows our product teams to build faster and safer.
  

What we can offer you

• Culture - We put our people first and prioritise 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 preliminary phone call with the recruiter
• A technical panel interview with Department Leads
• Technical take-home assessment
• A behavioral and technical interview with a member of the Executive team
• All interviews stages are Virtual

Technical Financial Crime Manager

About Paystack

Over the past nine years, Paystack has established itself as a pioneer in African fintech with a mission to help merchants get paid by anyone, anywhere in the world. Processing over $300 million in monthly transactions, our modern payments infrastructure supports tens of thousands of notable corporations, including MTN, Bolt, and Domino’s Pizza.

As we enter a phase of accelerated growth, we are seeking a Technical Financial Crime Manager to own, design, and scale our fraud and AML detection capabilities. This role sits at the intersection of data, engineering, and financial crime operations, with end-to-end accountability for ensuring our monitoring systems are technically robust, domain-accurate, and scalable across multiple markets.

This is a hands-on technical leadership role. You will define detection logic, guide system design, and directly influence how financial crime risk is identified and managed at Paystack, while also leading and developing high-performing fraud and AML teams.

What You’ll Do

As the Technical Financial Crime Manager, you will run the day-to-day fraud and AML detection stack; from data and rules to operational outcomes. You will combine deep technical expertise with financial crime domain knowledge to design effective monitoring systems, manage domain specialists, and ensure Paystack remains a safe, trusted payments platform.

You will be accountable for:

• The technical quality and effectiveness of fraud & AML monitoring logic
• The operating model and performance of Financial Crime Monitoring teams

Translating risk, regulatory, and business requirements into scalable detection systems

Key Responsibilities

Technical Ownership of Detection & Monitoring

• Define, build, test, and optimise fraud and AML detection rules, scenarios, thresholds, and models used in production systems.
• Translate complex datasets and domain insights into actionable detection logic embedded in monitoring and alerting platforms.
• Establish feedback loops between investigation outcomes and detection logic to continuously improve signal quality.
• Measure and manage detection performance using quantitative metrics (precision, recall, false positives, alert-to-case conversion, loss metrics).

Maintain structured, auditable documentation of rules, logic, assumptions, and changes.

Data Analysis, Modelling & Insights

• Analyse large, complex transactional and behavioural datasets to identify emerging fraud and AML risks across markets.
• Design and implement statistical models, machine learning approaches, and/or time-series analysis to enhance detection capabilities.
• Build and own dashboards and reporting frameworks tracking KPIs, SLAs, alert quality, investigator productivity, and risk outcomes.

Conduct trend analysis, root cause analysis, and deep dives on losses, typologies, and control gaps.

Financial Crime Oversight

• Own the end-to-end fraud and AML detection domain, ensuring alignment between prevention, detection, investigation, and remediation.
• Apply deep understanding of fraud typologies, AML/CTF risks, sanctions, and regulatory expectations to detection design.
• Manage the Fraud and AML operational teams (specialists and first-line managers) to ensure adequate coverage, capability and day-to-day execution. 
• Translate regulatory, partner, and audit requirements into scalable technical and operational controls.
• Stay ahead of evolving financial crime patterns, market-specific risks, and regulatory developments across Paystack’s footprint.

Tooling, Automation & Scale

• Partner with Product and Engineering to embed detection logic into core systems and improve monitoring, alerting, and case management tooling.
• Drive automation initiatives to reduce manual effort, improve consistency, and enable scale without compromising control quality.
• Identify and prioritise enhancements to monitoring platforms, workflows, and data pipelines.
• Ensure fraud and AML tooling evolves in line with transaction growth, new products, and new markets.

Operational Excellence

• Build and continuously improve operational processes, SLAs, KPIs, and quality frameworks across Fraud and AML teams.
• Use data and metrics to manage performance, capacity, and outcomes, ensuring teams operate efficiently and effectively.
• Identify gaps, risks, and inefficiencies, leading initiatives to strengthen controls and scale operations sustainably.
• Balance speed, quality, regulatory expectations, and customer experience in day-to-day decision-making.

Cross-Functional & Executive Collaboration

• Work closely with Product, Engineering, Data, Risk, Compliance, Legal, and Customer Operations. 
• Influence roadmap priorities related to fraud, AML, and financial crime tooling.
• Provide clear updates to senior stakeholders on operational performance, risks, and emerging issues

Support audits, partner reviews, and regulatory engagements as a subject matter expert.

Who We’re Looking For

Required 

• 7+ years in financial crime roles in payments, fintech, banking, or financial services.
• Strong technical expertise in data analysis, including advanced SQL and experience working with large, complex datasets.
• Expert Python skills, including experience with libraries such as pandas, NumPy, scikit-learn, statsmodels, and/or model pipelines.
• Proven experience designing, building, and tuning risk detection systems (fraud, AML, or similar).
• Solid understanding of statistical modelling, machine learning, and/or time-series forecasting, with experience deploying models into production or operational workflows.
• Ability to translate data insights into operational detection logic used by investigators and automated systems.
• Experience measuring and optimising detection performance using quantitative metrics.

Strong systems thinking: able to design scalable, maintainable monitoring frameworks rather than one-off rules.

• Deep understanding of financial crime typologies, fraud patterns, AML/CTF requirements, and regulatory obligations.
• Experience operating within fraud, AML, risk, or compliance functions in payments, fintech, or financial services.
• Proven experience leading and developing teams, including setting direction, coaching, and performance management.
• Ability to balance technical depth with practical operational decision-making.
• Excellent communication skills, with the ability to explain complex technical concepts to non-technical stakeholders.

High ownership mindset and comfort operating in ambiguous, high-growth environments.

Preferred

• Experience with dbt and modern analytics stacks.
• Experience with version control systems (GitHub).
• Experience with AI-assisted tooling or advanced analytics platforms.
• Familiarity with monitoring platforms, alerting systems, transaction screening, and case management tools.
• Experience working with OLTP (MySQL/PostgreSQL/SQL Server), OLAP (Redshift/BigQuery/Snowflake), and NoSQL (MongoDB) databases.
• Industry certifications such as ACAMS, ICA, CFE, CFCS, or similar.

Why This Role Matters

This role is foundational to Paystack’s ability to scale safely. You will define how financial crime detection works at Paystack, combining strong technical systems with sound domain judgment. Success in this role directly protects customers, merchants, partners, and the broader financial ecosystem while enabling Paystack’s continued growth across Africa and beyond.

This role is open to candidates based in Nigeria, Ghana, Kenya, or South Africa

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.

What We Do

At Moniepoint, we are a customer-focused community, dedicated to crafting solutions that redefine our industry. We have several products that provide essential services for businesses, such as credit, overdrafts, etc. We leverage artificial intelligence and data to make our decisions, but also have the technology and data-driven best practices used to support our businesses.

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

Job Summary

We are seeking a Site Reliability Engineer (SRE) responsible for ensuring our systems run smoothly and efficiently while engineering solutions to improve visibility, eliminate repetitive tasks, and increase system resilience. The ideal candidate will balance real-time on-call responsibilities with strategic engineering work to achieve sustainable and scalable service reliability.

Responsibilities

• Participate in on-call rotations to detect and triage service and reliability issues across all environments. Act as the Incident Commander during major incidents: initiating war room or bridge calls, coordinating cross-functional teams, providing timely and clear status updates to all stakeholders.
• Create and maintain meaningful dashboards and alerts. Work with development teams to instrument their code to ensure visibility.
• Develop automation to eliminate manual and repetitive operational tasks (toil) related to reliability across both applications and infrastructure.
• Implement and track Service Level Indicators (SLIs) and Service Level Objectives (SLOs) defined by the engineering leadership.
• Investigate and resolve customer complaints escalated beyond L1 and L2 support, especially those involving performance, reliability, or complex system behavior.

Requirements

• Minimum of 3 years of experience supporting enterprise applications as an SRE or similar role with proficiency in writing code in Java, Go or Python
• Good understanding of distributed systems concepts, microservices architecture and software design patterns.
• Hands-on experience with Kubernetes. You have managed applications on a major cloud provider (GCP, AWS, or Azure), and can troubleshoot common container issues.
• Experience setting up dashboards in Grafana and using APM tools like Datadog, New Relic, Signoz.You have a  Solid understanding of metrics, logs, and traces.
• Proficiency in SQL (e.g., PostgreSQL, MySQL). Ability to write complex queries to debug data issues and a basic understanding of database performance.

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

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

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.

What We Do

At Moniepoint, we are a customer-focused community, dedicated to crafting solutions that redefine our industry. We have several products that provide essential services for businesses, such as credit, overdrafts, etc. We leverage artificial intelligence and data to make our decisions, but also have the technology and data-driven best practices used to support our businesses.

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

Job Summary

We are seeking an experienced SRE to engineer the reliability of our highly distributed platform. You will combine deep knowledge of distributed systems with strong coding skills to define SLOs, lead incident response, and build automation and self-healing mechanisms into our systems. You will balance immediate operational stability with long-term strategic engineering to ensure our services scale linearly with our hyper-growth.

Responsibilities

• Participate in on-call rotations as the primary technical lead. Act as the Incident Commander during major severity incidents: initiating war rooms, coordinating cross-functional teams, and providing clear status updates.
  
  
• Instrument code to expose high-cardinality metrics and distributed traces. Collaboratively define, measure, and defend Service Level Objectives (SLOs) and Error Budgets with product owners.
  
  
• Write high-quality, production-ready code (in Java, Go, or Python) to build internal tooling, automation platforms, and self-healing mechanisms that eliminate manual operator intervention.
  
  
• Partner with Product Engineering teams during the design phase to ensure new services are built with reliability, scalability, and observability patterns (circuit breakers, rate limiting, backpressure, fallback strategies) from day one.
  
  
• Analyze system performance and traffic patterns to model future capacity needs. Conduct load testing and chaos engineering experiments to verify system resilience under failure conditions.
  .

Requirements

• Minimum of 4 years of experience in SRE or Backend Engineering with a strong ability to write clean, performant, and tested code in Java, Go, Rust, or Python.
  
  
• Deep understanding of distributed systems architecture and design patterns. You possess a strong command of microservices fundamentals, event-driven architectures, and the underlying principles required to build systems that scale.
  
  
• Extensive experience with Google Cloud Platform (GCP) or similar cloud providers (AWS/Azure). You are proficient in running production workloads on Kubernetes (GKE/EKS) and troubleshooting cluster/infrastructure issues.
  
  
• Experience designing observability strategies using OpenTelemetry, Prometheus, New Relic, Datadog, or SigNoz to improve system visibility.
  
  
• Familiarity with operating and tuning production data stores (e.g., PostgreSQL, MySQL) and streaming platforms (e.g., Kafka, RabbitMQ) in a high-throughput environment.

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

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

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. 

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

Job Summary
We are seeking an SRE Team Lead to guide a squad of site reliability engineers responsible for the reliability of our highly distributed financial platform.You will be designing high-level reliability architecture, while also mentoring engineers, defining the technical roadmap, and driving the culture of Site Reliability Engineering within a team. You will balance strategic leadership with deep technical work to ensure our systems and our people can scale linearly with our hyper-growth.

Responsibilities

• Set the technical direction for the SRE team. Architect self-healing systems, define reliability standards (Production Readiness Reviews), and drive the adoption of observability as Code and automation best practices.
  
  
• Define and enforce the end-to-end standard for system visibility. You will guide teams to deeply instrument their code (logging, tracing, metrics) and govern the monitoring ecosystem to ensure alerts are actionable, strictly minimizing noise (alert fatigue) while maximizing our ability to detect and resolve issues proactively.
  
  
• Lead, mentor, and grow a team of Senior and Associate SREs. Conduct code reviews, facilitate technical workshops and foster a culture of engineering excellence.
  
  
• Act as the ultimate escalation point for major incidents. Beyond firefighting, you will refine the Incident management process, ensuring the process is efficient and that RCAs lead to actionable engineering fixes.
  
  
•  Partner with Engineering Managers and Product Leads to define Service Level Objectives (SLOs) that align with business goals. 

Requirements

• Minimum of 5 years of experience in SRE or Backend Engineering, with at least 2 years in a Lead or Senior/Staff role mentoring others.
  
  
• Expert-level proficiency in Java, Go, Rust, or Python. You set the standard for code quality within the team.
  
  
• Mastery of distributed systems patterns. You can design scalable architectures, debug complex microservices interactions, and explain architectural trade-offs to stakeholders.
  
  
• Deep expertise with Google Cloud Platform (GCP) or AWS.  You have extensive experience running Kubernetes (GKE) at scale and troubleshooting deep infrastructure issues.
  
  
• Proven experience defining observability strategies for large teams. You have deep expertise in architecting the complete telemetry stack: from custom instrumentation to monitoring and actionable alerting.
  
  
• Strong communication skills with the ability to de-escalate high-pressure war rooms with calm authority.

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

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

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.