Soar (specifically Soar Power & Energy Solutions Limited, often referred to as Soar Energy) is a Nigerian indigenous company specializing in compressed natural gas (CNG) infrastructure and solutions, based in Lagos. It focuses on the supply, installation, commissioning, and maintenance of CNG equipment such as Pressure Regulator & Metering Systems (PRMS), daughter stations, tube skids, mobile refueling units, conversion kits, and related gas-to-power services. Partnering with international manufacturers, Soar aims to address Nigeria’s energy infrastructure gaps by providing affordable, reliable natural gas alternatives to reduce costs and downtime for industrial and commercial clients across the country.
Soar invites qualified candidates to fill in the position below:
Job Title: Senior Engineering Manager
Location: Abuja, Nigeria
Job Type: Full-time
Role Summary
- We rely heavily on AI across software design, development, testing, and delivery. We are looking for a Senior Engineering Manager who can lead multiple teams, develop engineering leaders, and turn AI-assisted development into a reliable, scalable engineering capability.
- You will remain technically engaged and accountable for the quality and business impact of what your teams ship.
Key Responsibilities
- Own delivery, technical quality, and operational readiness across multiple engineering teams; translate business priorities into clear plans and measurable outcomes.
- Lead and coach engineering managers and senior engineers. Build a culture of clarity, constructive feedback, collaboration, and sustainable performance.
- Define how teams use AI agents throughout the development lifecycle, including planning, implementation, code review, testing, and documentation.
- Establish reusable agent workflows, shared context, and automated quality gates that improve delivery across teams.
- Guide architecture and cross-team decisions; challenge generated solutions on correctness, security, scalability, maintainability, and cost.
- Partner with Product, QA, Security, and DevOps to resolve dependencies and ensure releases are validated through real user journeys.
- Own hiring, organizational capability, and engineering performance. Measure AI impact through delivery quality, lead time, reliability, and cost.
Requirements
- Typically 10+ years in software engineering and 4+ years in engineering leadership, including responsibility for multiple teams or developing engineering managers; equivalent demonstrated impact is welcome.
- Strong technical judgment across application architecture, APIs, databases, cloud infrastructure, automated testing, and production operations.
- Demonstrated experience embedding AI coding tools and agents into team workflows, with concrete examples of measurable improvements.
- Ability to design review and validation controls for AI-generated changes, including human accountability, data protection, and appropriate agent permissions.
- A record of developing leaders, communicating priorities clearly, listening to teams, and delivering complex initiatives across functions.
Nice to have:
- Experience in fintech or other regulated environments; agent orchestration, evaluation frameworks, shared context systems, or internal developer platforms.
What success looks like:
- Multiple teams deliver predictably with fewer escaped defects; managers and engineers grow in capability; AI workflows demonstrate measurable gains without weakening reliability, security, or ownership.
Application Closing Date
Not Specified.
How to Apply
Interested and qualified candidates should:
Click here to apply online
More on Jobrecruitmenthub
Dangote Petroleum Refinery Stock Offer: What Investors Need to Know About Africa’s Biggest IPO
Seplat Stock Analysis 2026: Market Cap, Strengths & Long-Term Share Price View
GTCO Shares – Market Capitalisation, Investment Advantages & How to Buy GTCO Shares
MTN Nigeria Shares: Market Capitalisation Strength, Investment Advantages, and How to Buy the Shares