Trainee Software Engineer developing cloud - native microservices at one of Europe's fastest growing FinTechs. Engaging in structured education program and real - world engineering skills training.
About the role
- Software Engineer II at Quevera, developing scalable solutions working alongside industry experts. Contributing to exciting projects and advancing your career within an innovative community.
Responsibilities
- Join our team at Quevera as a Software Engineer II.
- Work with industry experts.
- Take on exciting challenges.
- Build cutting-edge solutions.
- Advance your career in a space that values your skills and ideas.
Requirements
- REQUIRED - MUST have a current TS/SCI Polygraph clearance to apply for role. Only those with a current TS/SCI with Poly clearance will be considered.
- Demonstrated experience building and maintaining scalable front-end applications using React and TypeScript, with a solid understanding of component-based architecture, state management, and hooks.
- Demonstrated experience managing application state using MobX or other state management libraries or solutions within a TypeScript/React environment.
- Demonstrated experience understanding Node.js; to include competency in developing backend services and APIs using Node.js, with the ability to switch to backend work and integrate front-end with server-side code as required.
- Demonstrated experience with Elasticsearch; to include designing search functionalities, analytics, including querying, indexing, mappings, analyzers, tokenization, bulk indexing, search DSL, aggregations, reindexing, snapshots, ILM, performance tuning, working with large datasets.
- Managing at scale: cluster topology, shard sizing, replica strategy, resource limits, JVM tuning, recovery practices. Shard sizing strategy, reallocation, recovery tuning, snapshot impact, and performing rolling upgrades.
- Demonstrated experience with Database Management with RDS (Relational Database Service); to include proficiency in working with relational databases, specifically with Amazon RDS or similar services, including writing SQL queries, optimizing performance, and integrating with backend applications.
- Demonstrated experience with version control systems (such as Git) and familiarity with continuous integration/continuous deployment (CI/CD) pipelines to efficiently manage codebase and deployments.
- Demonstrated experience building and operating ETL (extract, transform, load) pipelines for very large datasets (terabytes to petabytes), with production-grade reliability.
- Demonstrated experience in TypeScript/JavaScript for backend development (Node.js frameworks like Express, async/await, Promises) and familiarity with the Elasticsearch JS/TS client.
- Demonstrated experience scripting and programming, with strong skills in Python, Bash, or Go for automation, tooling, data processing and runbook scripting.
- Demonstrated experience with SQL and experience optimizing complex queries where relevant to upstream data modeling.
- Demonstrated experience with the ability to evaluate trade-offs between latency, throughput and infrastructure cost, including index retention and storage tiers (Cost-aware mindset).
- Demonstrated experience with extensive Terraform experience; authoring modules, composition patterns, managing remote state backends and locks (S3), workspaces, provider/version locking, and writing idempotent infrastructure.
- Demonstrated experience with AWS (Amazon Web Service) networking mastery; to include VPC design, subnets, route tables, IGW, NAT, Transit Gateway, VPC Peering, PrivateLink, VPC endpoints, security groups, NACLs, Direct Connect, VPN and load balancers (NLB/ALB).
- Demonstrated experience with CI/CD and automation: Git-based workflows, Terraform pipelines (GitHub Actions, GitLab CI, Jenkins).
- Demonstrated experience with TLS, encryption at rest, IAM (identity and access management) policies or roles, secrets management (Vault, AWS Secrets Manager), network segmentation, audit logging and compliance controls.
- Demonstrated experience with performance tuning: JVM heap sizing, GC tuning, file descriptors/ulimits, OS settings (vm.max_map_count), thread pools, merge and refresh tuning, and bulk/ingest optimizations.
- Demonstrated experience with disaster recovery and capacity planning for large data sets, including tested backup/restore procedures and runbooks.
- Demonstrated experience with problem-solving, performance tuning capabilities for ETL jobs, Node.js backends, collaboration skills, with the ability to work across all layers of the stack, collaborate effectively with cross-functional teams, analytics and SRE teams, ability to adapt to evolving project requirements.
- Demonstrated experience with security and cost optimization patterns (right-sizing, reserved instances/savings plans, tiered storage).
- Demonstrated experience with strong troubleshooting skills using ES APIs (_cluster/health, _cat,_nodes, _segments, _recovery, _stats), logs, JVM GC analysis, thread-pool diagnostics, and OS-level metrics
Benefits
- Medical/Dental/Vision ( 100% Employer Paid Medical Plan )
- Short/Long Term Disability (Employer Paid)
- Life Insurance ( Employer Paid )
- Yearly $5,000 towards education/training/certification.
- Employer paid Company Vacation Package for you and a guest !
- Retirement: Quevera will match up to 6% towards your 401K and an additional 4% profit sharing!
Job title
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Tech skills
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