• Assist in developing and maintaining backend and front-end solutions for the Studio platform. • Support enhancements to the drag-and-drop flow builder for voice, SMS, and chatbot channels. • Collaborate with product managers, designers, and engineers to deliver new features. • Write clean, maintainable code and follow best practices for performance, security, and reliability. • Write basic tests and documentation to support high-quality releases. • Learn and explore AI technologies (Azure OpenAI, Google AI, IBM Watson, Amazon Lex). • Participate in agile processes and continuous improvement initiatives (CI/CD, automation).

Role Description As a Senior Software Engineer, you will play a critical role in designing, building, and optimizing high-performance, scalable, and resilient backend storage solutions on AWS cloud infrastructure. You will be responsible for: - Developing distributed storage systems, APIs, and backend services that power mission-critical applications. - Ensuring low-latency, high-throughput, and fault-tolerant data storage. - Collaborating closely with principal engineers, architects, SREs, and product teams to define technical roadmaps. - Driving performance tuning, data modeling, caching strategies, and cost optimization across AWS storage services. - Contributing to infrastructure automation, security best practices, and monitoring strategies. - Troubleshooting and resolving production incidents related to data integrity, latency spikes, and storage failures. - Mentoring junior engineers and participating in design reviews and architectural discussions. - Advocating for engineering best practices such as CI/CD automation, infrastructure as code, and observability-driven development. Qualifications - Bachelor’s or Master’s degree in Computer Science, Software Engineering, or a related technical field. - 5+ years of experience in backend software development. - 3+ years of hands-on experience working with AWS cloud services, particularly AWS storage technologies. - 3+ years of experience in designing and developing distributed systems or high-scale backend services. - Strong programming skills in Java or Kotlin. - Experience working in agile environments following DevOps and CI/CD best practices. Requirements - Strong Backend Development Skills: - Proficiency in Java for backend development. - Experience building high-performance, scalable microservices and APIs. - Strong understanding of RESTful APIs, gRPC, and event-driven architectures. - Experience with AWS Storage Technologies: - Hands-on experience with AWS DynamoDB, EBS, EFS, FSx, and Glacier. - Knowledge of AWS IAM, KMS, and data access policies for secure storage solutions. - Understanding of AWS networking (VPC, PrivateLink, Route 53) for optimizing storage performance. - Distributed Systems & Scalability: - Solid understanding of distributed databases, storage consistency models, and caching mechanisms. - Experience with sharding, partitioning, and load balancing to scale storage-heavy applications. - Familiarity with event-driven architectures using AWS SNS, SQS, Kinesis, or Kafka. - Performance Optimization & Cost Efficiency: - Ability to profile and optimize storage performance, indexing strategies, and data retrieval latencies. - Experience with cost-efficient storage solutions by implementing tiering, lifecycle policies, and data deduplication. - Knowledge of benchmarking and monitoring tools (CloudWatch, OpenTelemetry, Prometheus, Grafana). - Security & Reliability: - Experience implementing data encryption at rest and in transit using AWS KMS or TLS. - Understanding of access control mechanisms (IAM roles, STS, fine-grained permissions). - Experience ensuring high availability and disaster recovery using AWS backup strategies and multi-region replication. - Hands-On with Infrastructure as Code (IaC) & DevOps: - Experience using Terraform, AWS CloudFormation, or CDK to manage infrastructure. - Familiarity with CI/CD pipelines for backend deployments using GitHub Actions, CodePipeline, or Jenkins. - Experience with containerized deployments using Docker, Kubernetes (EKS), and serverless solutions (Lambda, Fargate). - Troubleshooting & Production Support: - Strong debugging skills for investigating storage failures, high-latency issues, and API bottlenecks. - Experience using observability and tracing tools to monitor storage workloads. - Ability to triage and resolve production incidents in large-scale backend systems. - Collaboration & Engineering Best Practices: - Strong experience in code reviews, unit testing, and API contract enforcement. - Ability to work cross-functionally with SREs, data engineers, and infrastructure teams. - Good documentation habits for ensuring architecture decisions and design patterns are well-documented. Benefits - Health and wellbeing resources. - Paid volunteer days. - And so much more.

Role Description Join our IoT team and help power the data backbone of SkyCell's temperature-sensitive supply chain solutions. As a Backend Engineer, you'll be responsible for building and maintaining the services that ingest, process, and expose data from thousands of connected devices around the world. Working closely with Product, Firmware, QA, and Platform teams, you'll design scalable backend solutions, improve data quality and observability, and ensure the reliable flow of critical IoT data across our ecosystem. Our IoT team owns the connected layer of the platform - the trackers, gateways, and ingestion systems that turn shipments and equipment into real-time, actionable data for our customers and for the platforms built on top of our data. What You'll Do: - Work with product, firmware, and downstream stakeholders to turn requirements into a clear plan of work - Design and implement backend services in Java for ingesting and exposing IoT data from trackers, gateways, and third-party feeds - Work across our data and messaging stack: Cosmos DB, Cassandra, Kafka, and Azure Functions, deployed via Docker - Build and maintain CI/CD pipelines for backend services and test infrastructure - Author BDD test suites in Cucumber and partner with QA on a shared cross-team E2E testing approach - Contribute to observability through Grafana dashboards and alerting - Investigate issues across the data flow, from device telemetry to consumer APIs - Collaborate with firmware, QA, and downstream platform teams on data contracts and quality Qualifications - Bachelor's degree in Computer Science, Software Engineering, or related - Production backend engineering experience in Java (Spring Boot or equivalent) - Comfortable scripting in Python or a similar language for tooling and automation - Strong written and spoken English - Strong sense of ownership: takes a vague request and returns a clear plan - Comfortable operating across analysis, implementation, and quality - Pragmatic about trade-offs and able to defend scoping decisions with evidence - Quality-minded by default - treats tests, observability, and clear scope as part of "done" - Effective written communicator, which matters in a distributed setting Benefits - Flexibility & Balance: Flexible working hours and work-life balance allow you to tailor work to fit your life. - Recognition & Growth: Opportunities for career advancement in a company that values your contributions. - Remote role with opportunities for ad hoc face-to-face interactions to inspire collaboration amongst a globally diverse team. - Company-wide Events: Join us for company events to celebrate successes, build teams, and share our vision. Plus, new joiners experience SkyWeek, our immersive onboarding program. - Generous Maternity & Paternity Leave: Support for new parents with competitive maternity and paternity leave. - Annual Leave & Bank Holidays: Enjoy a generous annual leave package, plus local bank holidays to recharge and unwind. Ready to Make an Impact? We’re not just offering a job; we’re offering a chance to be part of something bigger. At SkyCell, you’ll help build a future where pharmaceutical delivery is efficient, sustainable, and transformative. How to Apply Simply click ‘apply for this job’ below! We can’t wait to meet you and discuss how you can contribute to our mission! Please note, we are unable to consider applications sent to us via email. If you have any questions, you can contact our Talent Team (talent@skycell.ch). SkyCell AG is an equal opportunity employer that values diversity and is committed to creating an inclusive environment for all. We do not discriminate based on race, religion, colour, national origin, gender, sexual orientation, gender identity, age, disability, or any other legally protected characteristic. For this position, if you are not located in, or able to relocate (without sponsorship) to one of the above locations, your application cannot be considered.

Role Description Our backend systems process millions of transactions, serve enterprise customers across industries, and must perform flawlessly under pressure. We are scaling fast — and the decisions made at the architecture level today will define how the platform operates for years. We are hiring a Lead Backend Engineer to own that responsibility. This is a technical leadership role with real weight. You will set the architectural direction for core backend services, resolve ambiguity in complex distributed systems, engage directly with Product and DevOps leadership as a peer, not a downstream implementer and be the person the team turns to when things go wrong in production. Your decisions will have a measurable impact on system reliability, engineering velocity, and the careers of the engineers you mentor. We are looking for an engineer who has operated at this level before — someone who understands that senior engineering skill and technical leadership are not the same thing, and who is ready to take on both with full ownership. Responsibilities - Own backend features end-to-end: requirements, design, implementation, testing, and production rollout - Produce technical design documents for assigned features; present and defend them in design reviews - Write production-quality Java and Spring Boot code that meets the team’s standards for performance, maintainability, and test coverage - Identify and address edge cases, failure modes, and scalability constraints at the design stage — not after the fact - Deliver features on schedule with a consistent track record of quality and low post-release defect rates - Build and maintain microservices with a focus on reliability, scalability, and clean service boundaries - Design and optimise interactions with PostgreSQL and MongoDB; write performant queries and schema migrations - Implement Kafka-based event-driven workflows: consume, produce, and handle failure scenarios correctly - Use Elasticsearch for search features; understand indexing, mapping, and query construction - Instrument services with appropriate logging, metrics, and alerting from day one - Participate in on-call rotations and respond to production incidents with urgency and structure - Conduct root cause analysis on incidents related to your features and drive preventive improvements - Proactively monitor system health; surface degradation or risk to the Lead Engineer before it becomes an incident - Contribute to operational runbooks, post-mortems, and reliability improvement initiatives - Conduct thorough, constructive code reviews for junior engineers; elevate review quality on the team - Mentor junior engineers on technical approach, debugging discipline, and engineering best practices - Collaborate closely with the Lead Engineer on architecture decisions; contribute well-reasoned technical opinions - Partner with QA, DevOps, and Product to ensure features are delivered with full operational readiness Qualifications - Bachelor’s degree in Computer Science, Engineering, or equivalent experience - 5+ years of experience building and maintaining backend systems in production environments - Strong proficiency in Java with hands-on experience in Spring Boot–based microservices - Solid understanding of data structures, algorithms, and backend problem solving - Strong experience with PostgreSQL or other relational databases in high-scale systems - Experience building and consuming RESTful APIs and working with asynchronous systems - Strong debugging and troubleshooting skills in live production systems - Good understanding of software engineering best practices, including testing, code reviews, CI/CD, and release management - Clear communication skills and ability to collaborate effectively within a team - Hands-on experience with Kafka or similar messaging/event-streaming platforms - Exposure to distributed systems, microservices architecture, and scaling strategies - Experience with Docker and Kubernetes in production environments - Cloud platform experience (AWS, Azure, or GCP) - Caching with Redis: cache-aside, TTL strategies, cache invalidation patterns - Resilience engineering: Circuit Breaker, Bulkhead, Retry, Rate Limiting patterns Great to have - Experience using Redis, Elasticsearch, and MongoDB in production systems - Exposure to SRE or platform engineering practices - Experience contributing to or leading engineering hiring processes Benefits - Professional growth in a dynamic, rapidly expanding, high-social-impact industry - An open-minded, collaborative culture made up of enthusiastic colleagues who are driven by the challenge of innovation towards profound impact on people and the planet - A truly multicultural experience: you will have the chance to work with and learn from people from different geographies, nationalities, and backgrounds - Structured, tailored learning and development programs that help you become a better leader, manager, and professional through the Sun King Center for Leadership