Software Mind develops solutions that make an impact for companies around the globe. Tech giants & unicorns, transformative projects, emerging technologies and limitless opportunities – these are a few words that describe an average day for us. Building cross-functional engineering teams that take ownership and crave more means we’re always on the lookout for talented people who bring passion and creativity to every project. Our culture embraces openness, acts with respect, shows grit & guts and combines employment with enjoyment.
Job DescriptionProject – the aim you’ll have
Our customer provides innovative solutions and insights that enable our clients to manage risk and hire the best talent. Their advanced global technology platform supports fully scalable, configurable screening programs that meet the unique needs of over 33,000 clients worldwide. Headquartered in Atlanta, GA, they have an internationally distributed workforce spanning 19 countries with about 5,500 employees. Our partner perform over 93 million screens annually in over 200 countries and territories.
Position – how you’ll contribute
- Build and operate change-data-capture pipelines from PostgreSQL into Azure, using Kafka Connect and Debezium as the core of the platform
- Configure, deploy and scale connectors end to end - connector setup, task management, offsets, schema history, and snapshot strategy
- Run these pipelines as stateful workloads on Kubernetes (AKS), covering configuration, secrets, networking and resource tuning
- Monitor and troubleshoot the platform in production: connector failures, task rebalances, restarts, throughput and backpressure, message-size limits, retries and recovery
- Automate the platform in Python - configuration-driven onboarding of new data sources, pipeline orchestration, monitoring and alerting, recovery workflows, and automated testing
- Integrate CDC streams with the wider Azure data stack: Event Hubs, ADLS, Azure PostgreSQL, ADF and Databricks
- Manage platform infrastructure as code, so environments are reproducible and changes are reviewable
- Apply data protection requirements to sensitive data flowing through the pipelines - masking, hashing, access control and retention
Expectations – the experience you need
- Solid commercial experience as a data or platform engineer, with hands-on work on streaming or CDC pipelines rather than batch reporting alone
- Practical Kafka knowledge - topics, partitions, offsets, consumer groups and delivery semantics - including at least one Kafka Connect deployment you ran yourself
- Strong SQL and PostgreSQL skills, with working knowledge of WAL, logical replication, replication slots and replication lag
- Working understanding of CDC concepts: initial snapshots, inserts, updates and deletes, event ordering, at-least-once delivery, and schema evolution
- Confident Python for automation and tooling - orchestration, monitoring, recovery scripts, and automated tests
- Hands-on experience with Azure data services, for example Event Hubs, ADLS or Azure PostgreSQL
- Comfortable working with Kubernetes as a user: deploying workloads, handling configuration and secrets, reading logs, debugging failing pods
- Ability to debug a running pipeline from metrics and logs - telling throughput problems from backpressure, retries or a genuine connector failure
Additional skills – the edge you have
- Production experience with Debezium specifically - snapshot strategies on large tables, schema history recovery, offset loss, and bringing connectors back after failure
- Experience operating stateful workloads on AKS: StatefulSets, stable worker identity, and resource tuning under load
- Infrastructure-as-code and CI/CD for data platform components (Terraform, Bicep or similar)
- Hands-on work with Databricks and ADF at production scale
- Experience implementing data protection controls for sensitive data - masking, hashing, access control and retention policies
Our offer – professional development, personal growth
- Flexible employment and remote work
- International projects with leading global clients
- International business trips
- Non-corporate atmosphere
- Language classes
- Internal & external training
- Private healthcare and insurance
- Multisport card
- Well-being initiatives
Skills Required
- Solid commercial experience as a data or platform engineer, including hands-on streaming or CDC pipeline work
- Practical Kafka knowledge covering topics, partitions, offsets, consumer groups, delivery semantics, and at least one self-managed Kafka Connect deployment
- Strong SQL and PostgreSQL skills, including WAL, logical replication, replication slots, and replication lag
- Working understanding of CDC concepts, including snapshots, inserts, updates, deletes, event ordering, at-least-once delivery, and schema evolution
- Confident Python skills for orchestration, monitoring, recovery scripts, tooling, and automated tests
- Hands-on experience with Azure data services such as Event Hubs, ADLS, or Azure PostgreSQL
- Comfortable using Kubernetes to deploy workloads, manage configuration and secrets, read logs, and debug failing pods
- Ability to debug running pipelines using metrics and logs, distinguishing throughput issues, backpressure, retries, and connector failures
- Production experience with Debezium, including large-table snapshots, schema history recovery, offset loss, and connector recovery
- Production experience operating stateful workloads on AKS, including StatefulSets, stable worker identity, and resource tuning
- Infrastructure-as-code and CI/CD experience for data platform components using Terraform, Bicep, or similar tools
- Production-scale experience with Databricks and Azure Data Factory
- Experience implementing sensitive-data protection controls, including masking, hashing, access control, and retention policies
Software Mind Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Software Mind and has not been reviewed or approved by Software Mind.
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Fair & Transparent Compensation — Pay is considered competitive for core hiring markets, with “good salary” cited in multiple locales. Public salary snapshots provide a baseline that helps candidates assess offers and negotiations.
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Flexible Benefits — Remote or hybrid options are prominently highlighted, and a remote‑work program is publicly noted alongside positively cited work‑from‑home experiences. Flexibility around schedules and location is presented as part of the package.
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Wellbeing & Lifestyle Benefits — Private medical care, language classes, sports/fitness support, and learning initiatives are listed for several Central/Eastern European locations, with occasional workation perks promoted. These lifestyle‑oriented offerings complement base pay and can enhance perceived total rewards.
Software Mind Insights
What We Do
Software Mind is a global digital transformation partner with operations throughout Europe, the US and LATAM. Driven by tech and empowered by people, we provide companies with software engineers and autonomous, cross-functional development teams who manage software life cycles from ideation to release and beyond. For over 20 years we’ve been enriching organizations with the talent they need to boost scalability, drive dynamic growth and bring disruptive ideas to life. Our top-notch engineering teams combine ownership with leading technologies, including cloud, AI, data science and embedded software to accelerate digital transformations and boost software delivery. A culture, driven by trust, that embraces openness, craves more and acts with respect enables our experts to create evolutive solutions that support scale-ups, unicorns and enterprise-level companies around the world.
