Designs and builds secure, scalable distributed backend systems using Python and AWS. Responsibilities include event-driven architectures, asynchronous processing, cloud data pipelines, serverless applications, REST APIs, performance optimization, authentication, and cloud security. The role requires strong distributed systems, testing, debugging, and backend development expertise, with GenAI, LLM, RAG, and vector database experience preferred.
We're looking for a highly skilled Staff Backend Engineer to design and build robust, scalable, and secure distributed systems. As a critical member of our engineering team, you'll use your expertise in Python to build cloud-native applications that power our core services. We currently operate in an AWS environment, and the core need is strong distributed systems and backend fundamentals.
Key Responsibilities
- Build backend logic for event-driven systems using message queues and pub/sub services, with strong data processing and file-handling logic.
- Manage concurrent tasks efficiently in distributed environments using asynchronous programming techniques.
- Design and implement data processing pipelines across cloud storage, compute, and database services.
- Optimize applications for performance and scalability through caching, async calls, and latency reduction.
- Design and develop serverless applications and RESTful APIs using Flask or FastAPI.
- Follow cloud security best practices (IAM, encryption, network isolation), and implement authentication mechanisms (OAuth, JWT, or managed identity services).
Skills, Knowledge and Expertise
Must-Have Skills
- 5+ years of hands-on Python backend development experience, with solid exposure to cloud-native or serverless solutions (AWS preferred).
- Proven experience with distributed systems concepts — event-driven architecture, message queues, and scalable data pipelines.
- Hands-on experience with asynchronous and concurrent programming.
- Strong testing and debugging skills across distributed architectures.
- Exposure to GenAI tooling or LLM-based systems, particularly RAG or agentic RAG architectures, is a plus.
- Experience integrating LLM APIs into backend services or workflows.
- Familiarity with vector databases and embedding-based search.
- Builder mindset: thrives on writing, debugging, and improving production code.
- Collaborative, humble, and open to feedback.
- Strong communicator who explains design decisions clearly.
- Influences through contribution, not hierarchy.
About
Emumba is a global engineering and consulting company with strengths in software development and an established AWS cloud practice focused on Data and GenAI. For 15 years, our teams across the US, the UAE, and Pakistan have earned trust through quality delivery and ownership of work. We look for people who value the culture they work in as much as the craft they bring to it.
Similar Jobs
Information Technology • Security • Cybersecurity
Lead large-scale initiatives for a high-performance Linux-based network sensor, improving ingestion, scalability, continuous capture, queue reliability, observability, and production diagnostics. Own root cause analysis and postmortems, establish engineering standards, translate business goals into technical plans, and mentor engineers through design and code reviews. The role requires deep Rust expertise, distributed systems experience, concurrent programming, packet capture, message brokers, and cybersecurity best practices.
Top Skills:
Asynchronous ProgrammingConcurrent ProgrammingDistributed SystemsHigh-Performance Packet CaptureLinuxMessage BrokersQueue ManagementRust
Big Data • Fintech • Mobile • Payments • Financial Services
Architect and operate Affirm’s large-scale Amazon EKS compute platform, including cluster lifecycle, node management, autoscaling, shared components, infrastructure automation, workload safety policies, observability, cost and capacity optimization, and self-service workflows. The role drives technical strategy, mentors engineers, partners cross-functionally, and participates in on-call incident response.
Top Skills:
Amazon EksArgocdAWSCi/CdCluster AutoscalerCorednsEc2GitopsGoIamInfrastructure As CodeKarpenterKube ProxyKubernetesMetrics ServerOpa/GatekeeperPythonSpaceliftTerraformVpcVpc Cni
Big Data • Fintech • Mobile • Payments • Financial Services
Lead the architecture and technical strategy for Affirm’s high-volume observability platform. Design telemetry pipelines and sampling strategies, improve reliability and cost efficiency, integrate observability into AI-assisted development, and drive platform adoption across engineering teams. Remain hands-on while mentoring six engineers, leading cross-functional initiatives, establishing engineering standards, and overseeing monitoring, alerting, on-call operations, and system availability.
Top Skills:
Apache FlinkAWSKafkaKotlinKubernetesMySQLOpentelemetryPythonTerraform
What you need to know about the Boston Tech Scene
Boston is a powerhouse for technology innovation thanks to world-class research universities like MIT and Harvard and a robust pipeline of venture capital investment. Host to the first telephone call and one of the first general-purpose computers ever put into use, Boston is now a hub for biotechnology, robotics and artificial intelligence — though it’s also home to several B2B software giants. So it’s no surprise that the city consistently ranks among the greatest startup ecosystems in the world.
Key Facts About Boston Tech
- Number of Tech Workers: 269,000; 9.4% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Thermo Fisher Scientific, Toast, Klaviyo, HubSpot, DraftKings
- Key Industries: Artificial intelligence, biotechnology, robotics, software, aerospace
- Funding Landscape: $15.7 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Summit Partners, Volition Capital, Bain Capital Ventures, MassVentures, Highland Capital Partners
- Research Centers and Universities: MIT, Harvard University, Boston College, Tufts University, Boston University, Northeastern University, Smithsonian Astrophysical Observatory, National Bureau of Economic Research, Broad Institute, Lowell Center for Space Science & Technology, National Emerging Infectious Diseases Laboratories
