Our global voice team is looking for a committed, experienced Senior Software Engineer who is passionate about creating high performing, scalable, and resilient mission critical services that are the foundation of Five9’s next generation contact center platform. You will have the opportunity to combine what you already know with new learnings, crafting a bespoke solution that serves our customers and partners.

Responsibilities:

• Participate in an Agile scrum team which practices DevOps.
• Write clean and well-documented code and tests.
• Deliver your code as part of an overall solution running in the public cloud.
• Develop and enhance our Media Server to support real-time integrations with Large Language Models (LLMs) and other AI services.

Required Skills:

• 5+ years professional experience in software development, with some being written in C and/or C++.
• Hands-on experience writing software for real-time communications signaling and media protocols (SIP, RTP, etc.).
• Ability to methodically troubleshoot complex systems.
• Excellent communication and organization skills, and a sense of ownership.

 Technical Skills:

• Modern C++ (C++17+), RTP/SIP, audio codecs, SIP/SDP, ASR/TTS integration, AI APIs, cloud platforms (AWS/Azure/GCP), CI/CD, containers, SRE principles.

Benefits:

• Five9 Shares
• Bonus Scheme
• 10% Flexi Benefit
• Meal Allowance
• Medical Insurance
• Life Insurance 
• 25 day Annual Leave + Public Holidays

Our global voice team is looking for a committed, experienced Senior Software Engineer who is passionate about creating high performing, scalable, and resilient mission critical services that are the foundation of Five9’s next generation contact center platform. You will have the opportunity to combine what you already know with new learnings, crafting a bespoke solution that serves our customers and partners.

Responsibilities:

• Participate in an Agile scrum team which practices DevOps.
• Write clean and well-documented code and tests.
• Deliver your code as part of an overall solution running in the public cloud.
• Develop and enhance our Media Server to support real-time integrations with Large Language Models (LLMs) and other AI services.

Required Skills:

• 3+ years professional experience in software development, with some being written in C and/or C++.
• Ability to methodically troubleshoot complex systems.
• Excellent communication and organization skills, and a sense of ownership.

Preferred Skills:

• Hands-on experience writing software for real-time communications signaling and media protocols (SIP, RTP, etc.).

 Technical Skills:

• Modern C++ (C++17+), RTP/SIP, audio codecs, SIP/SDP, ASR/TTS integration, AI APIs, cloud platforms (AWS/Azure/GCP), CI/CD, containers, SRE principles.

Benefits:

• Five9 Shares
• Bonus Scheme
• 10% Flexi Benefit
• Meal Allowance
• Medical Insurance
• Life Insurance 
• 25 day Annual Leave + Public Holidays

Location: UK or Portugal

Department: Engineering

Employment Type: Permanent

About YLD:

Our goal is to help our clients keep moving forward. We work with them to build the skills and capabilities they need to stay ahead of the competition, and we know our success only happens when they succeed. We’re a team of curious, talented people, and we’re committed to making YLD a place where great people want to work, grow, and stay. We’re a remote-first consultancy specialising in software engineering, product design, and data. Our teams are based across London, Lisbon, and Porto, and we create digital solutions that continue to deliver value long after our work is done.

About the role:

As a Senior Data Engineer, you’ll be part of a client team building innovative products. We expect you to be curious, passionate, driven, and enthusiastic. You’ll be proficient at problem-solving, and crafting scalable, resilient, and fault-tolerant architectures. You’ll be an effective communicator and a team player. You and your team will move in a fast-paced engineering environment, achieving outstanding results and delivering exciting projects.

About you:

A YLD Senior Data Engineer is a highly skilled engineer who spans across data engineering and analytics engineering, and knows where the boundaries sit. You've built pipelines and transformation layers. You've inherited messy data projects and made them good. You have opinions about how data teams should work and the humility to adapt them to context.

You have a real passion for the craft and are an active learner who gets excited by the variety that consultancy brings: different clients, different stacks, different problems.

Your day-to-day responsibilities will look like this:

• Delivering data work on client engagements: pipelines, transformation layers, models, and the infrastructure around them
• Adapting to different client contexts, legacy warehouse migrations, greenfield lakehouses, struggling transformation layers that need rescuing
• Defining and evolving our internal standards for data work: testing, documentation, project structure, code review
• Mentoring and growing data engineers across the company
• Showing up for client team moments (internal speakers, learning sessions, social events) to build strong working relationships.
• Contributing to proposals and helping shape engagements during the sales process
• Representing YLD externally through writing, speaking, and contributing to the wider data community.

You’ll have the following skills and experience:

• SQL as engineering: You write SQL that's reviewable, testable, and performs at scale. You understand query planning, engine quirks, and how materialisation choices affect cost and performance
• Python for data: You write typed, testable Python for pipelines and tooling. You've built and maintained production data systems, not just notebooks
• Data modelling: You've made deliberate choices between dimensional, Data Vault, normalised, and denormalised designs. You can explain those trade-offs in terms of flexibility, query performance, and maintainability
• Transformation architecture: You design transformations that are idempotent, incremental, and dependency-aware. You think in DAGs, not scripts
• Pipeline design: You understand batch, streaming, and micro-batch trade-offs. You consider latency, complexity, cost, and reprocessability. And choose the right approach for the problem
• Data testing: You write tests as code, schema contracts, assertions, and transformation logic. You know what to catch at build time vs. defer to observability
• Data observability: You treat data reliability like site reliability. Measurable indicators, alerting, incident response, and root cause analysis
• CI/CD for data: You version, test, and deploy pipelines like software. Environment promotion, rollback strategies, and infrastructure as code for reproducible environments
• Data governance: You've implemented lineage, cataloguing, sensitive data classification, or access control. Not just built pipelines, but made them auditable and secure
• Cost-conscious: You've optimised warehouse spend, storage strategies, or job efficiency. You treat compute as a resource to manage, not ignore
• Platform fluency: You've worked across the modern stack. Orchestration (Airflow, Dagster), warehouses (Snowflake, BigQuery, Databricks), ingestion (Fivetran, Airbyte, custom), and transformation (dbt, Spark)
• Cross-functional fluency: You translate engineering constraints into business terms and negotiate realistic commitments

You’ll be:

• Self-motivated and proactive
• Comfortable with ambiguity, experimentation, and iteration
• Collaborative by default. You work well in teams and across teams
• Analytical and detail-oriented in your approach to problems
• Comfortable context-switching across clients, stacks, and problem types
• Willing to shape engagements, not just deliver them: contributing to proposals, scoping, and client relationships
• Active in the wider data community: writing, speaking, or open-source contribution
• Genuinely committed to diversity, equity, and inclusion

Benefits you'll get:

• Company Private Health care
• Enhanced fully paid maternity and paternity leave for up to 6 months
• Company’s Pension Scheme (UK Only)
• 25 days annual holiday (excluding Public Holidays)
• £2000/€2000 annual allowance for Training/Conferences
• £300/€300 annual allowance for additional hardware
• Wellbeing & Performance Support via Oli including Therapy and Coaching
• Discretionary Bonus (depending on Company performance and results)
• Company laptop
• Generous referral schemes

Our typical Recruitment Process looks like this:

• 1st Interview with someone from the Talent team (30-45 Minutes)
• Technical Interview with our Senior Developers (90 Minutes)
• Call with the Head of Engineering (60 Minutes)

Get a glimpse of what it's like working at YLD! 🤳

Check out our LinkedIn page

We live and breathe our values, and know you will too:

• Growing every day
• Including everyone
• Relationships built on honesty and ethics
• Inspiring solutions
• Winning together

We’re an equal-opportunity employer and value diversity in all its forms. We do not discriminate based on race, religion, colour, national origin, gender, sexual orientation, pregnancy or maternity, age, marital status, or disability. We also offer a remote-first working environment, with flexible working and work–life balance as standard for all employees.

Responsibilities

We are looking for a Senior Platform Infrastructure Engineer to work as a part of the Infrastructure/CICD team. In this role, you will be responsible for some of the items below:

• Participate in building the modern cloud-native scalable, flexible and extensible Internal Platform solution based on Temporal and other tools with focus on optimized cost, availability, stability, security and compliance, DevEx, performance, minimal on-boarding time.

• Maintain and enhance current solutions for the Workato Internal Platform with focus on health, stability, performance & DevEx

• On-board Workato components & applications to Internal Platform.

• Implement pipelines to automate security, reliability, and availability best practices during all stages of software lifecycle.

• Implement complex deployment scenarios, including dynamic environments, progressive rollouts such as canary deployments, chaos engineering, etc.

• Work with engineering teams to better address needs and enable more effective and efficient developer throughput and improve services through rigorous testing and release.

• Gather and analyze metrics from CICD pipelines and infrastructure to assist in performance tuning and stability improvements.

• Participate in system design consulting, platform management, and architecture reviews.

• Document development processes and best practices.

• Support continuous improvement by investigating alternatives and technologies and presenting these for architectural review.

• Identify and drive opportunities to improve automation for code integration, quality testing, security scanning and deployment.

If you’re looking for a real challenge in terms of mission criticality, multi-geographic region deployments, diversity of managed services then this might be the position for you!

Requirements

Qualifications / Experience / Technical Skills

• Proficiency in one or more programming languages such as Go, Python, Java, JavaScript, Python, with preference to Go

• Experience with creating internal platform tooling, e.g. CLI tools, etc

• Experience creating scalable development and integration pipelines with tools such as ArgoCD, Argo Workflows, GitHub Actions, or similar solutions.

• Experience creating application deployments of Kubernetes-based services using tools like Kustomize, Helm, ArgoCD or similar ones using release engineering practices such as GitOps.

• Experience with cloud-based architectures like Amazon Web Services and knowledge of related Infrastructure as Code & CICD practices.

• Strong understanding of networking fundamentals and web services architecture.

• Experience with managing complex infrastructure (such as Kubernetes clusters, VPC networking and security policies) using Infrastructure as Code tools (e.g. Terraform or CloudFormation).

• Hands-on experience with containers (creating and optimizing Dockerfiles, using docker-compose), deep understanding of underlying and related technologies (kernel features, container networking, image structure & registry). 

• Familiarity with software packaging tools, functional testing, security validation tools and services, code coverage tools.

• BS or MS in the CS field (or equivalent experience).

• 5+ years professional experience in hands-on engineering roles (Platform Engineer / Software Engineer /  DevOps / SRE / CICD).

(REQ ID: 2718)

Our mission is to improve developers’ experience by giving them the tools to manage the entire software lifecycle and to be self-sufficient. 

To help with this we are building our own internal PaaS using the latest technologies like Kubernetes, Prometheus, Kotlin and others. This platform is an important pillar in Talkdesk’s engineering effort and helps us deliver better, faster and more reliable solutions for our customers.


Responsibilities:

Design, build, harden, and maintain key infrastructure parts of our platform (from the lifecycle of the infrastructure to each one of our Kubernetes clusters)
Support the processes that enable the safe upgrade and update of each component of our compute infrastructure
Work with  GitOps industry-leading tools such as Spacelift and/or Atlantis
Help automate safe deployment practices by using industry-leading tools such as GitHub Actions,  ArgoCD, Argo Rollouts, Helm Charts, etc
Help automate infrastructure provisioning and other engineering processes by working on automations built on top of an engineering platform written in GitHub Actions
Coach and up-skill other engineering team members
Solve challenging technical problems and put your skills to the test every day; see an immediate impact of your work and the value you've created for other engineers
Automate every aspect of our infrastructure to remove as much human intervention as possible
Develop effective tooling, alerts, and responses to both identify and address reliability risks
Drive and promote protocols on production readiness and operational excellence
Partner with product engineering teams to debug production outages and carry out action items to improve the reliability of those systems
Advocate for automated testing, continuous integration and delivery, feature toggles, and progressive rollouts
Plan for the growth of Talkdesk’s infrastructure.


Skills and Qualifications: 

Understand large-scale complex systems from a reliability perspective
Passion for producing clean, standards-compliant, secure code
Bringing a developer mindset and applying it to infrastructure
Know your way around Linux/Unix systems
Experience with Kubernetes
Experience with Infrastructure as code tools like Terraform and Ansible
Experience building software with a programming language such as Java, Kotlin, Scala, or any other JVM-based languages
Experience writing scripts for automating the execution of certain tasks with a programming language like Ruby, Python, Bash, or any other scripting language
Experience with at least one relational and non-relational databases (ex.: PostgreSQL, MySQL, MongoDB, Redis, ElasticSearch)
Ability to identify time-consuming and error-prone manual tasks and then build/leverage tooling to automate them
Ability to identify root causes of instability in a large-scale distributed system across stacks


Nice to haves / Pluses: 

Experience with cloud-based solutions such as Amazon AWS, Google Cloud, or Microsoft Azure
Experience with Go programming language


Additional Notes:
This position will follow a hybrid work model.

The SRE Connectivity team at Talkdesk is responsible for building, running, and evolving the infrastructure foundation that supports all engineering teams, with an automation-first mindset and a strong focus on availability, reliability, and scalability.

As a Technical Manager, you will combine hands-on technical leadership with people and delivery ownership. You will actively contribute to the design, implementation, and operation of the network and SRE stack, while also guiding the team, setting technical direction, and ensuring sustainable execution.

At Talkdesk, we follow a “you build it, you own it” philosophy. In this role, you will help reinforce that culture by empowering teams with the right tools, practices, and guardrails, fostering a blameless environment focused on learning and continuous improvement.

You will work with a large, distributed, multi-region, multi-cloud infrastructure, using modern technologies at scale.

Be responsible for:

Technical (hands-on)

• Design, build, and maintain the core network infrastructure and related tooling used across Talkdesk
• Remain hands-on in the day-to-day work, contributing code, infrastructure changes, and reviews
• Drive automation-first practices across network and infrastructure operations
• Ensure infrastructure reliability through observability, monitoring, alerting, and proactive issue detection
• Develop and evolve tooling, alerts, and operational processes that enable engineering teams to safely run production workloads
• Participate in on-call rotation, leading by example and staying close to production realities
• Lead and actively participate in incident response, root cause analysis, and post-mortems, ensuring concrete follow-ups that improve resilience

Leadership & management

• Provide technical direction and standards for the network and SRE domain
• Mentor and coach engineers, supporting their technical growth and operational maturity
• Plan and prioritize work with a focus on impact, risk reduction, and long-term sustainability
• Act as a technical partner to product engineering teams, helping them design more reliable, scalable, and observable services
• Balance short-term operational needs with longer-term architectural improvements

Need to have:

• Strong hands-on experience with AWS networking
• Hands-on experience configuring and operating AWS Direct Connect
• Hands-on experience with Fortinet firewalls and Fortinet network security products
• Experience working with NetBox or similar network source-of-truth solutions
• Solid knowledge of Linux/Unix systems
• Programming/scripting skills in at least one language (e.g. Python, Bash)
• Experience with Infrastructure as Code (CloudFormation, Terraform, or similar)
• Experience with configuration management tools such as Ansible
• Experience with monitoring and observability tools (Datadog, New Relic, Grafana, or similar)
• Proven ability to identify manual, error-prone processes and replace them with automation
• Strong troubleshooting skills and ability to identify root causes in large-scale distributed systems
• Pragmatic, solution-oriented mindset with strong critical thinking skills

Be valued for:

• Experience supporting production systems at scale
• Experience with technologies such as Docker, Consul, Vault, Jenkins, Concourse, Prometheus, Nexus
• Experience with encryption and key management technologies (ACM, KMS, hashing, secret management)
• Experience with additional firewall or network security solutions beyond Fortinet
• Experience with other cloud providers such as GCP or Azure
• Previous experience acting as a technical lead or manager while remaining hands-on

Key responsibilities 
Strategic Impact

• Drive long-term planning and continuous improvement of observability capabilities
• Identify gaps, initiate improvements, and balance competing priorities
• Enable teams to operate effectively through better tooling, processes, and clarity
• Introduce AI into coding processes

Leadership & Team Development

• Lead, mentor, and grow a team of software engineers ( Python, JavaScript / React)
• Set clear expectations, manage performance, and support career development
• Foster a culture of ownership, accountability and continuous improvement
• Remove blockers and maintain strong team engagement

Planning, Delivery & Requirements

• Lead requirements clarification with stakeholders and translate them into actionable engineering work
• Own and maintain application and platform roadmaps, aligning with organizational priorities
• Define, prioritize, and manage Jira epics, stories, and tasks
• Drive sprint planning, backlog management, and predictable delivery
• Ensure high-quality execution through effective Agile practices and CI/CD workflows

Cross-functional Leadership

• Collaborate with SRE, platform teams and service owners to design scalable solutions
• Act as a key coordination point between engineering, operations, and leadership
• Align observability initiatives with broader company goals

Engineering Contribution

• Contribute to code and perform code reviews
• Provide technical guidance and support architectural decisions
• Ensure engineering best practices across the team

Requirements

• 7+ years of experience in Software Development
• 3+ years experience in leading and mentoring software engineers as senior or lead developer
• Strong expertise in Observability (monitoring / logging / telemetry) tooling
• Experience with distributed systems and scalable architectures
• Proven ability to translate requirements into actionable engineering work
• Experience with Agile methodologies and delivery management
• Strong communication and stakeholder management skills
• Experience with AI development

Benefits:

• Five9 Shares
• Bonus Scheme
• 10% Flexi Benefit
• Meal Allowance
• Medical Insurance
• Life Insurance 
• 25 day Annual Leave + Public Holidays