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Senior Software Engineer

AI Summary
Vonage is seeking a Senior Software Engineer to build and evolve highly available, concurrent distributed backend services for its cloud communications platform. The role centers on Go development, architecture ownership, performance optimization, REST/HTTP services, and reliable automated testing. The engineer will work with relational and non-relational data stores, cloud-native containerized systems, and may use AWS, Kafka, Kubernetes, and Terraform. Responsibilities also include mentoring junior engineers, defining engineering standards, supporting releases and documentation, and participating in an on-call rota.
Remote from
Poland
Salary
Undisclosed
Employment
Full Time
Experience
Senior
Published
Apply before
3 Dec 2026
Listing views
13
Application actions
1
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Opportunity details

About this role.

Join Vonage and help us innovate cloud communications for businesses worldwide!

About Vonage

Vonage is the emerging leader in the $100B+ cloud communications platform (CPaaS) market. Customers like Airbnb, Viber, WhatsApp, Snapchat, and many others depend on our APIs and SDKs to connect with their customers all over the world. As businesses continue to shift to a real-time, customer-centric communications model, we are experiencing a time of impressive growth.

Why This Role Matters

The RNE (Registration, Numbers and Enablement) group within Vonage’s Foundation Engineering department works across four core product domains: Registration, Numbers, Number Intelligence, and Know Your Customer (KYC). Our senior engineers play a key role in driving technical quality and platform evolution, working on a modern cloud-native stack across both greenfield and existing systems.

What You Will Do

  • Design and develop highly concurrent, distributed backend services with a focus on high availability;
  • Take solid ownership of architectural contributions, driving technical decisions within and across teams;
  • Lead performance optimisation efforts and proactively diagnose complex system issues;
  • Design, develop and test new features, setting a high bar for quality and reliability;
  • Support the release and documentation of developed features;
  • Define and champion coding standards and development processes;
  • Mentor and support more junior engineers within the team;
  • Provide out-of-hours support as part of an on-call rota.

What You Will Bring

Essential:

  • Strong programming skills in Go (Golang);
  • Proven experience developing and maintaining enterprise-grade systems at scale;
  • Solid experience with highly concurrent, distributed architectures and systems;
  • Solid experience contributing to and driving architectural decisions;
  • Experience with containerised applications and cloud-native environments;
  • Experience profiling and optimising performance at scale;
  • Experience building REST/HTTP based services;
  • Strong experience with relational and non-relational databases (e.g. PostgreSQL, Redis);
  • Strong test suite design skills, including Unit, Integration and Smoke tests, enabling safe promotion of code to production without manual intervention;
  • Excellent communication skills, with the ability to articulate complex technical problems and solutions clearly.

Nice to Have:

  • Hands-on experience with AWS (SQS, SNS, DynamoDB), Kafka, Kubernetes or Terraform;
  • Understanding of Continuous Delivery in cloud environments;
  • General understanding of the telecommunications industry.

How you’ll benefit:

  • Medical Insurance (Allianz)
  • Life Insurance (Uniqa)
  • Glasses Reimbursement
  • Kafeteria (My Benefit)
  • Discretionary Time Off (DTO)
  • Volunteer Time (VTO)
  • Ericsson Care Line

#LI-YB1

There’s no perfect candidate. You don’t need all the preferred qualifications to make a valuable impact on our team. Our employees and customers come from diverse backgrounds, so if you’re passionate about what you could achieve at Vonage, we’d love to hear from you.

To learn how we process your personal data during the recruitment process, please refer to our Privacy Notice.

Who we are:

Vonage is a global cloud communications leader. And your talent will further help brands – such as Airbnb, Viber, WhatsApp, and Snapchat – accelerate their digital transformation through our fully programmable-based unified communications, contact center solutions, and communications APIs. Ready to innovate? Then join us today.

Note: The purpose of this profile is to provide a general summary of essential responsibilities for the position and is not meant as an exhaustive list. Assignments may differ for individuals within the same role based on business conditions, departmental need or geographic location.

Apply now >

This job listing has been manually reviewed by the Jobicy Trust & Safety Team for compliance with our posting guidelines, including verification of the company's legitimacy, accuracy of job details, clarity of remote work policy, and absence of misleading or fraudulent content.

Role DNA

A quick view of the complexity, pace, ownership and collaboration implied by the job description.

Job Complexity

5/5
EasyHard

Pace & Pressure

4/5
RelaxedFast-paced

Autonomy Level

5/5
GuidedFull ownership

Communication Load

4/5
IndependentCollaborative
AI insightThis is a senior-level backend role requiring deep expertise in Go, distributed systems, performance engineering, and architecture decisions at enterprise scale. Production ownership and on-call support increase the technical and operational complexity.

Salary analysis

Estimated compensation compared with the broader US market for similar roles.

Estimated job median (per year)Market rate
$150,000
US market range (per year)$130k–$175k
AI insightThe yearly pay period is inferred from the job context; it was not explicitly stated by the employer. No employer compensation was disclosed. Estimated annual USD compensation for a senior backend engineer with Go and distributed-systems expertise; the yearly cadence and figures are inferred from the role’s seniority and market context.

Core skills

Skills and capabilities most closely associated with this opportunity.

Sample interview questions
How would you design a highly available Go service that processes registration requests at large scale?

I would keep the service stateless, deploy multiple instances behind a load balancer, and use durable storage with replication and well-defined consistency requirements. I would make request handling idempotent, use timeouts and retries with backoff for dependencies, publish asynchronous work through a queue where appropriate, and add metrics, tracing, health checks, and load testing before release.

Describe your approach to diagnosing a production performance regression in a Go service.

I first establish the impact through service-level metrics such as latency, error rate, throughput, and resource utilization. I compare the affected deployment or traffic pattern with a known baseline, then use tracing, logs, and Go profiling tools such as pprof to isolate CPU, memory, lock contention, allocation, database, or downstream dependency bottlenecks. I validate the fix with targeted benchmarks and production monitoring.

How do you make architectural decisions across multiple engineering teams?

I begin by clarifying the business outcome, constraints, ownership boundaries, and non-functional requirements. I document alternatives and trade-offs in an ADR, seek input from affected teams early, and use evidence such as operational risk, scalability, security, and delivery cost to make a decision. After implementation, I ensure interfaces, migration plans, and success measures are clear to all stakeholders.

What testing strategy would you use to enable safe continuous delivery for backend services?

I would use a layered approach: fast unit tests for business logic, integration tests for databases and external contracts, API or contract tests for service interfaces, and smoke tests after deployment. The pipeline should enforce quality gates, run tests in isolated environments, and support progressive rollout with observability and rapid rollback. Critical workflows should also be covered by resilient end-to-end tests.

How would you mentor a junior engineer working on a complex distributed-systems feature?

I would break the work into understandable milestones and explain the system context, failure modes, and operational requirements before implementation. I would pair on key design and debugging tasks, provide actionable code-review feedback, and encourage the engineer to document decisions and test assumptions. My goal would be increasing their independence while maintaining a safe and high-quality delivery.

This analysis is generated from the job description. Salary estimates, role characteristics and sample answers are guidance, not employer-provided facts.
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