Sr Lead Software Engineer - Java

Hackajob; Hyderabad, Pune District, Bengaluru; Hybrid; INR 4,000,000 - 7,000,000; Full time

Job summary

Hackajob is seeking an experienced Senior Backend Engineer to drive roadmaps for distributed systems, microservices, and data pipelines. You will design high-impact solutions and produce production-grade code in Java, Go, or similar languages.

You will mentor engineers, review code, and collaborate with product, SRE, cybersecurity, risk, and compliance to meet regulatory needs. Experience with AWS, Docker, Kubernetes, and modern CI/CD is essential.

Qualifications

• Formal training or certification in software engineering concepts with 10+ years of backend experience.
• Experience with blockchain platforms (Ethereum, Hyperledger Besu, Hyperledger Fabric, Quorum, Corda, or Polygon).
• Expertise in backend languages: Java, Go, C++, Scala, or Kotlin.
• Deep knowledge of distributed systems, microservices, RESTful and gRPC APIs, and event-driven design (Kafka, RabbitMQ).
• Advanced understanding of CI/CD, application resiliency, and security.
• Experience with cloud platforms (AWS), containers (Docker, Kubernetes), and CI/CD pipelines (Jenkins, Spinnaker).
• Strong observability skills (Prometheus, Grafana, Splunk, Dynatrace).
• Experience migrating applications to cloud-native and hybrid environments.

Responsibilities

• Defines and drives the roadmap; design decisions on distributed systems and data pipelines.
• Seeks high-impact design outcomes; solves complex problems beyond routine approaches.
• Writes secure, production-grade code and maintains algorithms.
• Produces architecture artifacts while ensuring design constraints are met by code.

Skills

Backend engineering

Blockchain platforms

Java

Go

C++

Scala

Kotlin

Distributed systems

REST/gRPC APIs

CI/CD

AWS

Docker

Kubernetes

Jenkins

Spinnaker

Kafka

RabbitMQ

Prometheus

Grafana

Splunk

Dynatrace

Tools

AWS

Docker

Kubernetes

Jenkins

Spinnaker

Kafka

RabbitMQ

Prometheus

Grafana

Splunk

Dynatrace

Job description

Job responsibilities

• Defines and drives the roadmap; make high-impact design decisions on distributed systems, microservices, APIs, and data pipelines.
• Executes software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problems
• Creates secure and high-quality production code and maintains algorithms that run synchronously with appropriate systems
• Produces architecture and design artifacts for complex applications while being accountable for ensuring design constraints are met by software code development
• Collaborate with Product Owners, SREs, Cybersecurity, Risk, and Compliance to deliver features that meet business and regulatory requirements.
• Mentor and grow a team of senior, mid-level, and junior engineers, conduct code reviews, design reviews, and career development conversations.
• Leads communities of practice across Software Engineering to drive awareness and use of new and leading-edge technologies
• Write, review, and mentor on production-grade code in Java, Python, Go, or similar; champion clean code, TDD, and modern engineering practices.
• Evaluate emerging technologies (event-driven architecture, AI/ML platforms, real-time streaming, etc.) and drive their adoption where appropriate.
• Drives adoption and governance of approved AI-assisted engineering practices across teams to improve code quality, delivery speed, and operational outcomes (e.g., AI-assisted code review/refactoring, test acceleration, release readiness, incident/root-cause analysis), while establishing measurable validation standards (secure coding, peer review, automated testing) and promoting reuse of proven patterns and automation within the SDLC/TLM toolchain.
• Applies knowledge of tools within the Software Development Life Cycle toolchain, including approved AI-assisted development and automation capabilities, to improve the value realized by automation at scale.

Required qualifications, capabilities, and skills

• Formal training or certification on software engineering concepts and 10+ years of applied experience inserver-side / backendengineering.
• Hands-on experience withblockchain platformssuch asEthereum, Hyperledger Besu, Hyperledger Fabric, Quorum, Corda, or Polygon
• Expertise in one or more backend languages:Java, Go, C++, Scala, or Kotlin.
• Deep knowledge ofdistributed systems,microservices architecture,RESTful and gRPC APIs, andevent-driven design(Kafka, RabbitMQ, etc.).
• Advanced understanding of agile methodologies such as CI/CD, Application Resiliency, and Security.
• Experience withcloud platforms(AWS),containers(Docker, Kubernetes), andCI/CD pipelines(Jenkins, Spinnaker).
• Solid understanding ofperformance tuning,caching strategiesand observability(Prometheus, Grafana, Splunk, Dynatrace). Proven track record of leadinglarge-scale engineering programsand mentoring senior engineers.
• Experience with AWS ecosystem and application migrations from on-premises and hybrid solutions to fully cloud-native applications.
• In-depth knowledge of the financial services industry and their IT systems.
• Demonstrated experience leading effective use of enterprise-authorized AI-assisted software development tools within the work environment (e.g., for coding, code review, test acceleration, troubleshooting) with the ability to set team expectations for validating AI outputs for correctness, performance, and security
• Strong understanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs/outputs, and adherence to resiliency and security expectations; experience coaching senior engineers/leads on compliant usage patterns and controls

Required qualifications, capabilities, and skills

• Experience operating inhighly regulated environments(financial services, healthcare, etc.) is strongly preferred.