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Parloa

Principal Software Engineer - Real-Time Voice

Parloa is hiring a Principal Software Engineer - Real-Time Voice in Berlin, Germany. Level rates it ; you can apply on Level.

AI in this role

Lead the real-time voice infrastructure and VoIP systems that power enterprise conversational AI agents.

siprtpwebrtcvoip
ai-agentsdistributed-systemsinfrastructurescalabilitysoftware-architecturevoice-engineering

About Parloa

Parloa’s mission is to make every customer conversation feel effortless for both customers and the companies serving them. As agentic AI accelerates, Parloans are shaping the foundation of a new era in customer experience, one where customer support is no longer transactions, but meaningful exchanges. It is not just a vision; Parloa has powered over ONE BILLION interactions between global enterprise brands and their customers, with companies like Booking.com, HealthEquity, Allianz, SAP, BarmeniaGothaer, and TUI already deploying Parloa at scale.

About the role:

Voice is one of the most demanding and differentiated parts of what we do. As Principal Software Engineer for Voice/VoIP, you'll own the technical direction of our real-time voice infrastructure — the systems that let AI agents have natural, low-latency phone conversations at enterprise scale, across telephony providers, carriers, and global markets.

This is a hands-on technical leadership role. You'll set architectural direction, solve the hardest problems yourself, and raise the bar for how the wider engineering org builds and reasons about voice systems. You'll work closely with infrastructure, AI/ML, and product teams to ensure our voice stack is fast, reliable, and ready to scale globally.

Areas of ownership:

  • Own the architecture and technical roadmap for Parloa's Voice/VoIP infrastructure, including SIP trunking, media handling, and real-time audio pipelines
  • Design for low-latency, high-availability voice at enterprise scale — across global telephony carriers and providers
  • Drive technical decisions on protocols and standards (SIP, SDP, RTP/SRTP, RTCP, WebRTC, ICE, STUN/TURN) and real-time media transport
  • Partner with AI/ML teams to optimise the integration between voice infrastructure and conversational AI models (ASR, TTS, turn-taking, barge-in)
  • Diagnose and resolve deep, systemic issues in call quality, latency, jitter, and packet loss across distributed, multi-region deployments
  • Define and uphold engineering standards for reliability, observability, and security across the voice stack
  • Mentor senior and staff engineers, acting as a technical multiplier across the organisation
  • Evaluate and integrate with telephony providers, carriers, and SIP trunk vendors as Parloa expands into new markets
  • Represent Parloa's technical voice expertise in conversations with enterprise customers and partners where needed

Who you are:

  • 10+ years of engineering experience, including 5+ years hands-on building, operating, or debugging production Voice/VoIP, SIP, WebRTC, or carrier-grade voice infrastructure
  • Strong knowledge of SIP, SDP, RTP/SRTP, RTCP, WebRTC, ICE, and real-time media transport protocols
  • Hands-on understanding of audio codecs and media behavior, including Opus, G.711/G.722, codec negotiation/transcoding, DTMF/RFC2833, jitter buffers, packetization, and codec-related quality/latency trade-offs
  • Experience building or operating large-scale, distributed, real-time systems with strict latency and availability requirements
  • A track record of owning architecture for complex systems and driving technical decisions with broad organisational impact
  • Experience working with telephony carriers, SIP trunk providers, or PSTN integrations at scale
  • Deep, hands-on ownership of production SIP-based voice infrastructure at enterprise scale (e.g. Kamailio, FreeSWITCH, Asterisk, pjsip)
  • Strong systems programming skills in one or more of Go, C, C++ or Rust, with the ability to work at the media/transport layer.
  • Comfort operating in cloud environments (AWS, GCP, or Azure) and with container orchestration (Kubernetes)
  • Excellent communication skills — able to explain complex technical trade-offs to engineers and non-engineers alike
  • A genuine interest in AI and conversational technology, and how voice infrastructure underpins it
  • Experience instrumenting and operating voice-quality observability — call-quality metrics (e.g. MOS), per-leg call tracing, and diagnosing jitter, latency, and packet loss from telemetry

Our engineering values:

At Parloa, we hire, promote, and evaluate based on cultural and technical excellence. You’ll thrive here if you:

  • Earn Trust – act with transparency and reliability.
  • Obsess Over Customers – always start with the customer problem.
  • Think Big – set bold goals and pursue them fearlessly.
  • Have Integrity – do the right thing, especially when it’s hard.
  • Disagree & Commit – debate with candor, align fast, and deliver.
  • Own It – take full responsibility for outcomes, not just tasks.
  • Dive Deep – master the details without losing sight of the big picture.
  • Bias for Action – move fast, decide quickly, iterate fearlessly.
  • Deliver Value – measure success by customer and business impact.
  • Insist on the Highest Standards – raise the bar continuously.
  • Go the Extra Mile – make the impossible possible.
  • Hire & Elevate the Best – raise the bar with every hire

Our recruiting process:

Recruiter Call → Technical Peer Interview → 360° Tech Interview Loop → Bar Raiser

Why Parloa?

We’re at the beginning of a new era in customer experience, one where AI doesn’t just respond, but understands, reasons, and takes action. We’re building agentic AI that enterprises trust with their most important customer moments: complex questions, high volumes, real stakes. When millions of people reach out to a brand, those interactions aren’t just support tickets; they’re defining experiences. We’re here to raise the standard: making every conversation seamless, intelligent, and genuinely helpful. If you care about shaping how businesses and customers connect at scale—and want your work to matter in real, everyday moments—this is where you do it.

At Parloa, ownership isn’t a buzzword; it means being accountable for outcomes, not just tasks. We operate in a category that’s evolving fast, where the bar is high, and the problems are complex. We hire people who think in solutions, communicate with clarity, and follow through. People who are comfortable making decisions, taking responsibility, and raising the standard for themselves and those around them.

We’ve grown beyond the earliest startup phase, but we’ve kept the intensity: fast execution, direct feedback, and a strong expectation to contribute meaningfully from day one.

Backed by leading global investors like General Catalyst, EQT Ventures, and Altimeter Capital, we’re scaling with a clear ambition: to become the global category leader in enterprise-grade conversational AI.

 

Parloa is committed to upholding the highest data protection standards for our clients' and employees' data. All our employees are instrumental in ensuring the utmost care, GDPR, and ISO compliance, including ISO 27001, in handling sensitive information.

Parloa is an e-verify employer in the USA. Please click here to learn more.

* We provide equal opportunities to all qualified applicants regardless race, gender, sexual orientation, age, religion, national origin, disability status, socioeconomic background and other characteristics.

How we rate this

Principal Software Engineer - Real-Time Voice at Parloa rates 90 out of 100 for how much of the daily work is AI. That makes it Builds AI (AI Level 4 of 4). The level is about AI in the job, not seniority.

Classification

Builds AI. The job is building AI systems.

  1. ●●●● Builds AI80 to 100
  2. ●●●○ Works on AI60 to 79
  3. ●●○○ Uses AI40 to 59
  4. ●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Open the description and count.

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

AI agentsDistributed SystemsInfrastructureScalabilitySoftware ArchitectureVoice EngineeringSipRtp

Also common in software engineer jobs at this level

Pay

Typical software engineer job
$168k

This posting doesn't list pay. Use the typical software engineer figure when pay comes up. See software engineer jobs

Questions you could be asked

  1. How do you decide when an AI agent can act on its own versus asking for approval first?
  2. Tell me about a project where distributed systems was part of your work. What did you do?
  3. Tell me about a project where infrastructure was part of your work. What did you do?
  4. Tell me about a project where scalability was part of your work. What did you do?
  5. Tell me about a project where software architecture was part of your work. What did you do?

Adapt your resume

  • List these exact terms on your resume: AI agents, Distributed Systems, Infrastructure, Scalability, and Software Architecture. An applicant tracking system matches the wording, not the idea.
  • Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
  • Lead with what you built, trained or shipped. This role is judged on the AI system itself, not the tools around it.

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