Devops Engineer II; DBOps - Poland
Job in
New Rochelle, Westchester County, New York, 10801, USA
Listed on 2026-07-08
Listing for:
Housecall Pro
Full Time
position Listed on 2026-07-08
Job specializations:
-
IT/Tech
SRE/Site Reliability, AWS, Cloud Computing: Infrastructure & Operations, IT Infrastructure
Job Description & How to Apply Below
Benefits
- Paid holidays and flexible, take‑it‑as‑you‑need‑it scheduled time off
- A culture built on innovation that values big ideas, no matter where they come from
- A Mac Book set up and ready from day one, plus a $500 stipend to design your ideal workspace
- Central European Time (CET) hours to support a balanced schedule for our Poland‑based team
- Equity in a rapidly growing startup backed by top‑tier VCs
As a Staff Dev Ops Engineer II (DBOps), you are an expert communicator who bridges the gap between schema design, site reliability engineering, and infrastructure automation. You possess deep relational database expertise and are comfortable collaborating cross‑functionally across engineering teams to optimize query performance, architecture, and system scalability. You take a high level of ownership over database health, proactively addressing scaling bottlenecks, sharding, and replication topologies before they impact production.
You bring an SRE mindset to continuously improve the observability, efficiency, and disaster recovery posture of core data systems.
10 000 – 10 700 USD per month (B2B)
What You’ll Do Each Day- Own the observability, monitoring, and alerting of production database clusters and replication topologies
- Optimize database engine configurations for performance, stability, compliance, and security
- Design scalable database schemas and storage architectures to support high‑growth application workloads
- Implement advanced data scaling strategies including sharding, partitioning, and high‑availability clustering
- Triage critical production database incidents and establish long‑term preventative engineering solutions
- Lead cross‑functional initiatives for disaster recovery testing, data classification, and major engine upgrades
- Build cloud infrastructure using Infrastructure as Code to automate deployment pipelines and environments Collaborate with software development teams on complex migrations, schema reviews, and query optimization
- Participate in systemic architecture reviews to provide authoritative database engineering expertise
- Automate operational tasks and third‑party API integrations using modern scripting languages
- 5+ years of hands‑on experience designing, implementing, and operating relational databases in production, plus 3+ years in Dev Ops, SRE, or software engineering
- Production‑scale expertise with relational technologies (i.e. MySQL, PostgreSQL) including backups, replication topologies, indexing, and partitioning
- Advanced knowledge of database architecture, data modeling, query optimization, and high‑availability / backup & recovery solutions
- Extensive experience building cloud infrastructure using Infrastructure as Code (i.e. Terraform, Cloud Formation, Pulumi, CDK) within public cloud environments (i.e. AWS)
- Proficiency in programming languages (i.e. Python, Golang) to drive automation and tool integration
- Strong operational familiarity with Linux operating systems, containerization (i.e. Docker), and container orchestrators (i.e. Kubernetes, ECS)
- Hands‑on experience with continuous integration and deployment pipelines (i.e. Git Lab, TravisCI, CircleCI, Jenkins)
- Demonstrated experience deploying monitoring and observability platforms (i.e. Datadog, New Relic)
- Demonstrated ability to leverage AI tools to improve workflows, streamline execution, or enhance outputs
- Bachelor’s degree in Computer Science, Information Technology, or equivalent work experience
- Exceptional breadth of interest shown through tangible, self‑initiated ventures or deep community involvement; you love trying new things and may possess a demonstrated history of successfully pivoting or starting over in life and work
- Strong systems thinking and the ability to balance long‑term technical objectives with immediate operational priorities
- Deep technical comfort explaining complex architectural trade‑offs, cardinality, data types, and engine execution behaviors to other developers
- A genuine passion for data‑driven decision‑making and troubleshooting distributed architectures
- Familiarity with data streaming or ETL architectures (i.e. Kafka, Confluent Cloud)
To View & Apply for jobs on this site that accept applications from your location or country, tap the button below to make a Search.
(If this job is in fact in your jurisdiction, then you may be using a Proxy or VPN to access this site, and to progress further, you should change your connectivity to another mobile device or PC).
(If this job is in fact in your jurisdiction, then you may be using a Proxy or VPN to access this site, and to progress further, you should change your connectivity to another mobile device or PC).
Search for further Jobs Here:
×