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Senior Migration Operations Engineer

Yesterday 2026/09/03
General Engineering Consultancy
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Job description

As a Senior Migration Operations Engineer , you will own the operational health of the migration journey for Arbor products, primarily Arbor MIS, alongside other products such as Arbor Finance.
Migrations involve moving customer data from competitor systems into Arbor, and you will be the key person ensuring that process runs smoothly.
Every migration represents a school's transition to Arbor, and the quality of that experience directly shapes their trust in our products.
You will proactively and reactively work with Onboarding teams, Support teams, the Migration Platform team, to ensure migrations are executed smoothly, issues are resolved efficiently, and systemic problems are fed back to drive lasting improvements.
Technical Execution & Ownership Executing and monitoring data migrations across multiple products and countries and taking ownership of outcomes end-to-end using existing UI tooling Triaging migration issues effectively, resolving what you can independently and escalating with clear context when needed Performing root cause analysis on failed or delayed migrations, identifying recurring failure patterns and systemic issues.
Running post-incident reviews and applying lessons learned to prevent recurrence Defining and maintaining triage frameworks, severity classification, prioritisation criteria, and escalation paths Driving process improvements and feeding structured, prioritised requirements back to the Migration Platform team Improving observability (logs, dashboards, alerts) across the migration pipeline to support faster diagnosis and resolution Managing data integrity checks and validating successful data transfers Owning operational readiness for large-scale and time-sensitive migration windows, including risk assessments, checklists, and go/no-go decisions.
Adapting plans quickly when circumstances change mid-migration Maintaining and improving migration operational documentation, playbooks, and best practices Ensuring migrations meet defined SLAs and quality benchmarks, contributing to the definition of those standards Collaboration & Communication Act as the migration function’s primary liaison with Onboarding and Support teams, proactively driving communication, not waiting to be asked Proactively flag migration risks, blockers, and timeline impacts to Onboarding teams, managing expectations and negotiating timelines when needed Reactively partner with Support team to investigate and resolve post-migration issues, ensuring timely customer outcomes Build strong working relationships with customer-facing teams to understand the school’s perspective, feeding that insight back into how migrations are prioritised and executed Run or contribute to regular cross-team syncs with Onboarding and Support teams to maintain alignment and surface issues early, asking the right questions to uncover root causes rather than just symptoms Provide structured, prioritised operational feedback to the Migration Platform team, acting as the voice of operations in platform decisions Communicate migration status, risks, and decisions clearly to both technical and non-technical stakeholders, translating complex migration issues into understandable updates tailored to the audience Participate in tech talks and team-based learning, sharing knowledge and best practices Mentorship & Leadership Set the bar for operational quality, reviewing others’ work and defining what ‘good’ looks like for migration operations Mentor and guide less experienced team members in migration best practices, triage, and escalation, delivering well-structured constructive feedback that balances recognition of strengths with actionable suggestions for development Shape team processes and operational standards, driving continuous improvement Actively seek feedback from peers, stakeholders, and the teams you work with to continuously improve both your own performance and operational processes What we offer The chance to work alongside a team of hard-working, passionate people in a role where you’ll see the impact of your work every day.
We also offer: Flexible work environment (3 days work from office) Group Term Life Insurance paid out at 3x Annual CTC (Arbor India) 32 days holiday (plus Arbor Holidays).
This is made up of 25 days annual leave plus 7 extra companywide days given over Easter, Summer & Christmas Work time: 9.
30 am to 6 pm (8.
5 hours only) Compensation - 100% fixed salary disbursement and no variable component.
Experience, Knowledge & Skills 5-10 years of experience Significant experience operating or supporting data migration processes in production environments Strong troubleshooting and debugging skills with the ability to investigate issues independently in logs and data before escalating Solid understanding of databases (e.
g., SQL, data validation, integrity checks) Comfortable reading and understanding backend or scripting code (e.
g., PHP, Python, or similar) Experience with cloud environments (AWS, Azure) and operational tooling Hands-on experience working with logs, monitoring systems, and observability tools Experience working with Git-based source control systems (e.
g., GitHub) Proven ability to manage multiple workstreams and prioritise effectively under pressure, remaining calm and adapting your approach when things don’t go to plan Experience working with JIRA or similar ticketing systems in structured delivery environments Strong stakeholder management skills, experience working directly with customer-facing teams Experience with incident management or operational triage in production environments Excellent written and verbal communication skills An understanding of customer impact in operational decision-making, with empathy for the end-user experience A proactive mindset, strong judgement, and an ownership mentality with a continuous improvement approach, always looking to learn from both successes and failures Desirable Experience in SaaS environments.
Exposure to education technology, school MIS systems, or data migrations between competing platforms Experience working with large datasets Understanding of SLAs, operational metrics, and service reliability concepts Experience in high-volume or time-pressured operational environments
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