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Recently Added Akka Developers in our Network

Muneeb V

Muneeb VProfile Badge IC

Tech Lead & Akka Developer15 Years of Exp
  • Architecture Design
  • Team building
  • Python
  • Java
  • Ruby
  • Airflow
  • Akka
  • View all (10)

Seasoned software engineer with extensive hands-on experience in software development. Engineered scalable systems supporting millions of users and designed resilient data pipelines to process large volumes of data. Extensive experience in architecture, design, development and maintenance of software systems. Proven track record of driving technical innovation and delivering high-quality software solutions. Mentored junior developers and played a key role in recruiting and building teams, fostering a collaborative culture and implementing best practices.

Prasanna Kumar

Prasanna KumarProfile Badge IC

Associate Director, Data Strategy, Akka & Engineering17 Years of Exp
  • Apache Kafka
  • Apache Atlas
  • Apache Beam
  • Apache Druid
  • Apache Flink
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Technical Data Engineering Leader with 17+ years of experience driving end-to-end architecture, platform engineering, and data infrastructure transformation across Fintech, Blockchain, and AdTech domains.

R G Prajeen

R G PrajeenProfile Badge IC

Software Developer-I & Akka Engineer2.11 Years of Exp
  • Datastructures
  • Algorithms
  • Problem Solving
  • Java 8
  • Akka
  • C/C++
  • Java
  • View all (9)

Experienced software engineer currently building scalable, cloud-native systems at Oracle. Over the years, I’ve worked across the full stack—developing high-performance systems with Java, Python, and Go, and leveraging technologies like Kafka, Redis, Kubernetes, and Docker across major cloud platforms (OCI, AWS, Azure).Recently, I’ve been focused on integrating GenAI into production-grade applications, working with LangChain to build agentic flows that are reliable, context-aware, and aligned with real-world business goals. I’m particularly interested in how AI systems evolve from prototype to production within large enterprises.Passionate about distributed systems, platform engineering, and agile development practices. Outside of work, I occasionally contribute insights to product and investment teams looking to understand trends in AI and cloud infrastructure.Always open to exchanging ideas on real-world GenAI use cases, scalable infra, or the future of cloud-native AI.

Ashish kumar

Ashish kumarProfile Badge IC

Sr Data & Akka Engineer6.5 Years of Exp

Passionate data engineer with 4+ years of expertise and proven track record in designing scalable data solutions. Eager to contribute technical acumen to innovative projects and drive impactful results in dynamic and collaborative environment.

Abhijeet Mishra

Abhijeet MishraProfile Badge IC

Software & Akka Engineer3.11 Years of Exp
  • Java
  • Spring Boot
  • AWS
  • Docker
  • Elixir
  • Go
  • JMeter
  • Phoenix
  • PostgreSQL
  • View all (12)

Backend Engineer with 4+ years of experience building scalable, distributed systems and microservices. Skilled in Java, Go, Kafka, PostgreSQL, and Redis. Designed high-throughput event pipelines processing 20M+ events daily, CDC pipelines with Debezium, and optimized APIs for performance and reliability.

Sunil Mallesara

Sunil MallesaraProfile Badge IC

Sr Consultant/Manager & Akka Developer16.5 Years of Exp
  • HTML / CSS
  • GIT / SVN
  • jQuery
  • Java
  • GCP
  • AWS
  • Kafka
  • Oracle Database
  • View all (11)

15 years of expertise in software architecture, design, and development. Currently serving as a technical lead, emphasizing solution design and providing comprehensive architecture and component design guidance to steer the engineering team. Strong leadership abilities with experience in managing teams. Skilled in Java, J2EE, Spring Boot, AWS, GCP, Akka Reactive programming, JMS, Kafka, AMQP, Microservices, Hibernate, Oracle, SQL, and Web Technologies. Certified Java Programmer, AWS Solution Architect training in progress. Proficient in Agile methodologies, Scrum ceremonies and Test Driven Development. Excellent interpersonal skills, a collaborative team player, and a goal-oriented individual. Demonstrated ability to adapt quickly and learn new technologies. Global professional with extensive experience in India and Australia, excelling in effective communication and collaboration across international teams.

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Why Akka Developers Are Essential for High-Performance Applications

Based on the actor paradigm, Akka is a potent toolbox that makes distributed, robust, and event-driven systems possible. It enables developers to create apps that can accommodate millions of users at once without experiencing latency problems and scale reliably. Businesses that hire Akka developers gain architects of performance, reliability, and fault tolerance, but the true benefit is in expertise.

Frequently Asked Questions

Uplers provides AI-vetted talent, ensuring a seamless hiring experience. Our efficient process ensures profile shortlisting within 48 hours, allowing you to swiftly onboard qualified professionals within just 2 weeks. Additionally, we prioritize client satisfaction with our flexible terms, including a 30-day cancellation policy and a lifetime free replacement.

You can get the top 3.5% of AI-vetted profiles in less than 48 hours through Uplers. Once you finalize one of the most suitable Akka Developers, Uplers takes care of the entire hiring and onboarding formalities. This typically takes 2-4 weeks depending on your requirements and decision-making time.

The modes of communication through which you can get in touch with a hired Akka Developer include:

  • Email
  • Phone
  • Messaging apps such as WhatsApp, Slack, or Microsoft Teams

Uplers offers a 30-day cancellation policy at no extra cost and lifetime free replacement.

The average cost of hiring an Akka Developer from Uplers starts at $2500. The number varies depending on the experience level of the developer as well as your requirements.

View Our Pricing For 2024 - 25

At Uplers, our screening process ensures a thorough evaluation of candidates' language proficiency, facilitated by our AI-vetting technology. Beyond linguistic skills, we prioritize cultural fitness to ensure seamless integration within your team, fostering a harmonious work environment and seamless collaboration.

An Akka developer designs and builds scalable, resilient, and high-performance systems using the Akka toolkit. The role involves creating actor-based architectures, implementing concurrency and message-driven workflows, ensuring fault tolerance, and optimizing system performance. An Akka developer also integrates distributed components, manages cluster communication, and maintains smooth operation across multiple nodes.

To keep enterprise applications fast and scalable, an Akka developer focuses on essential performance techniques, including:

  • Designs actor-based architectures that support high concurrency without bottlenecks.
  • Uses Akka Cluster and cluster sharding to distribute workload and enable horizontal scaling.
  • Implements routing and load balancing to manage traffic efficiently.
  • Applies backpressure with Akka Streams to control data flow during heavy load.
  • Tunes dispatchers and mailboxes to reduce latency and improve throughput.
  • Builds resilience with supervision strategies and circuit breakers to maintain responsiveness during failures.
  • Ensures quick recovery using Akka Persistence for reliable state management.
  • Uses distributed data and Cluster Singleton when shared or centralized logic is required.
  • Monitors system performance with metrics and logging to identify issues early.
  • Conducts load and stress testing to validate scalability under real-world conditions.
  • Supports autoscaling by integrating with container orchestration platforms.

The ideal candidate should have strong knowledge of the actor model, concurrency concepts, and distributed system design. Proficiency in Scala or Java is essential, along with hands-on experience using Akka actors, Akka Streams, Akka Cluster, and event-driven architectures. An Akka developer should also understand asynchronous programming, message-driven workflows, and fault-tolerant design patterns. Additional strengths include performance tuning, monitoring and logging tools, DevOps practices, and cloud-native deployment environments.

Implementing the actor model typically involves these concrete steps and practices:

  • Defines actors to isolate state and avoid shared-memory issues.
  • Uses message passing to enable safe, lock-free concurrency.
  • Applies supervision strategies to recover from failures automatically.
  • Builds clear actor hierarchies for structured lifecycle management.
  • Tunes dispatchers and mailboxes to improve throughput and reduce latency.
  • Uses Akka Streams with backpressure to control data flow under load.
  • Persists important state with Akka Persistence for reliable recovery.
  • Scales across nodes using Akka Cluster and cluster sharding.
  • Implements bulkheading to prevent cascading failures.
  • Ensures idempotent message handling for safe retries.
  • Tests failure scenarios to validate recovery behavior.
  • Monitors metrics and logs to detect bottlenecks early.

Building resilient and self-healing systems requires applying Akka's key fault-tolerance and recovery patterns. An Akka developer uses supervision strategies to restart failing components, designs actor hierarchies that contain issues, and implements message-driven workflows that continue operating during partial failures. The role also involves using circuit breakers, retries, and timeouts for unstable dependencies, restoring essential state with Akka Persistence, distributing workloads through Akka Cluster, adding backpressure during traffic spikes, isolating high-risk components, and monitoring system health to support proactive recovery.

Achieving strong performance in high-load environments relies on efficient concurrency and proactive tuning. In this process, an Akka developer streamlines actor workflows, reduces contention, and selects optimized dispatchers for each workload. The approach also involves managing flow with backpressure, distributing processing across nodes, and refining serialization for faster communication. Further improvements come from minimizing blocking operations, isolating slow services, running targeted load tests, and using real-time metrics to detect bottlenecks and fine-tune system behavior.

Effective monitoring, logging, and debugging depend on centralized, correlated telemetry and proactive diagnostics.

  • Use structured, centralized logging for clear, searchable insights.
  • Add correlation IDs to trace message flows across actors and nodes.
  • Enable distributed tracing to follow end-to-end request paths.
  • Track key metrics such as mailbox sizes, message rates, dispatcher load, and cluster state.
  • Configure log levels and sampling to balance clarity and noise reduction.
  • Include contextual details like actor paths, message types, and node IDs in logs.
  • Set up health, readiness, and liveness probes for system visibility.
  • Create alerts for growing mailboxes, high error rates, GC spikes, and node instability.
  • Capture JVM diagnostics during critical failures for deeper analysis.
  • Use event sourcing or persistence logs to replay and reproduce issues.
  • Run fault-injection or chaos tests to validate observability and recovery.
  • Protect sensitive data in logs and manage retention policies.
  • Automate dashboards, queries, and runbooks to speed up troubleshooting.

Integrating Akka applications with existing systems requires clear interfaces, compatible communication, and resilient design. An Akka developer uses REST, gRPC, or message brokers, standardizes serialization, adds adapters for legacy services, applies circuit breakers and retries, uses service discovery, secures communication, and exposes health and metrics endpoints for smooth, reliable integration.

A company should expect ongoing support focused on stability, performance, and continuous improvement. After deployment, an Akka developer monitors system health, resolves production issues, fine-tunes actors and dispatchers, and optimizes performance under real traffic. The role also includes applying security updates, updating dependencies, improving resilience patterns, enhancing observability, and supporting scaling needs as the application grows.

A company should consider hiring an Akka developer when the application demands high concurrency, real-time processing, or fault-tolerant behavior that goes beyond the capabilities of standard Java or Scala development. This includes building distributed systems, scaling workloads across multiple nodes, handling large message volumes, or ensuring low-latency performance under heavy load. An Akka developer brings specialized expertise in the actor model, clustering, and event-driven architecture skills that are essential when resilience, scalability, and predictable performance are core business requirements.