Lead architecture and delivery of real-time stream-processing pipelines using Apache Flink and Java. Design scalable, event-driven, low-latency systems; optimize performance and reliability; deploy and manage cloud/containerized services; enforce CI/CD, testing, and observability; troubleshoot production issues; collaborate with cross-functional teams; and mentor engineering teams.
This role is for one of the Weekday's clients
Min Experience: 10 years
Location: USA
JobType: full-time
As a Lead Engineering Manager, you will play a pivotal role in architecting and delivering complex stream-processing solutions, mentoring engineering teams, and collaborating closely with cross-functional stakeholders to translate business requirements into robust technical systems.
RequirementsKey Responsibilities
- Lead the architecture, design, and implementation of real-time data processing pipelines using Apache Flink.
- Develop and maintain high-performance backend services and distributed systems using Java.
- Design scalable event-driven architectures capable of handling high-throughput and low-latency workloads.
- Optimize streaming jobs for performance, fault tolerance, and resource efficiency.
- Ensure best practices in code quality, testing, observability, and CI/CD processes.
- Collaborate with data engineering, DevOps, and product teams to define technical roadmaps and system requirements.
- Conduct design reviews, troubleshoot production issues, and implement long-term reliability improvements.
- Mentor and guide engineers, fostering a culture of technical excellence and continuous improvement.
- Contribute to infrastructure decisions related to distributed processing, cloud deployment, and containerized environments.
- 10–12 years of overall experience in software engineering, with significant exposure to distributed systems.
- Strong hands-on expertise in Apache Flink, including stream processing concepts such as windowing, state management, checkpoints, and event-time processing.
- Advanced proficiency in Java, including concurrency, multithreading, memory management, and performance tuning.
- Deep understanding of data streaming architectures and real-time processing frameworks.
- Experience working with messaging systems (e.g., Kafka or similar platforms).
- Strong knowledge of data structures, algorithms, and system design principles.
- Experience deploying and managing applications in cloud environments (AWS, Azure, or GCP).
- Familiarity with containerization technologies such as Docker and orchestration tools like Kubernetes.
- Solid understanding of CI/CD pipelines, automated testing frameworks, and monitoring tools.
- Experience with SQL and NoSQL databases in high-scale environments.
- Proven experience leading engineering teams or owning major technical initiatives.
- Strong architectural decision-making abilities with a focus on scalability and maintainability.
- Excellent problem-solving and analytical skills.
- Ability to communicate complex technical concepts to both technical and non-technical stakeholders.
- Strong ownership mindset and commitment to delivering high-quality solutions.
- Experience with big data ecosystems and real-time analytics platforms.
- Exposure to performance benchmarking and capacity planning.
- Experience working in Agile/Scrum environments.
Similar Jobs
Information Technology • Consulting • Defense
Lead and manage an engineering team responsible for enterprise Azure platform operations, AVD, IaC (Terraform), and Nerdio optimization. Drive team performance, operational excellence, risk management, cross-team coordination, onboarding, and delivery while translating architecture into actionable execution and ensuring accountability across senior engineers.
Top Skills:
Azure Virtual Desktop (Avd)Infrastructure As CodeAzureNerdioTerraform
.png){kind=logo}
AdTech • Cloud • Digital Media • Information Technology • News + Entertainment • App development
Lead and grow a team of ML engineers building applications for a graphically intensive simulation platform. Manage stakeholders, translate customer needs into technical requirements, prioritize between off-the-shelf, open-source, and greenfield solutions, coordinate cross-functional delivery, and oversee the full ML lifecycle from data infrastructure to deployment. Foster team ways of working and performance.
Machine Learning • Software
Lead a 5-6 person engineering team to build a cloud-native, AI-driven Coordination of Benefits product. Own architecture, roadmap, production releases, hiring, coaching, and engineering standards. Collaborate with product, ML, UX, QA, and operations to design rules engines, claims pipelines, and scalable secure systems for regulated healthcare data.
Top Skills:
AIClaude CodeCodexContainersDockerGoJavaKubernetesMicroservicesMlObservabilityRustScala
What you need to know about the Seattle Tech Scene
Home to tech titans like Microsoft and Amazon, Seattle punches far above its weight in innovation. But its surrounding mountains, sprinkled with world-famous hiking trails and climbing routes, make the city a destination for outdoorsy types as well. Established as a logging town before shifting to shipbuilding and logistics, the Emerald City is now known for its contributions to aerospace, software, biotech and cloud computing. And its status as a thriving tech ecosystem is attracting out-of-town companies looking to establish new tech and engineering hubs.
Key Facts About Seattle Tech
- Number of Tech Workers: 287,000; 13% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Amazon, Microsoft, Meta, Google
- Key Industries: Artificial intelligence, cloud computing, software, biotechnology, game development
- Funding Landscape: $3.1 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Madrona, Fuse, Tola, Maveron
- Research Centers and Universities: University of Washington, Seattle University, Seattle Pacific University, Allen Institute for Brain Science, Bill & Melinda Gates Foundation, Seattle Children’s Research Institute
