Lead Back End Developer

Lead Backend Engineer – Hyderabad (5–7 Years)

Build scalable, secure healthcare AI platforms that matter. Trulogik is hiring a Lead Backend Engineer to drive backend architecture, services, and teams powering AI-driven healthcare process automation and analytics. The role requires hands-on ownership, microservices expertise, and proven leadership to deliver reliable systems at scale.About Trulogik

Trulogik delivers AI-powered automation and data-driven solutions that help enterprises scale operations, enhance customer experiences, and drive growth. The culture emphasizes agility, innovation, collaboration, openness, and customer-centric delivery, with a strong focus on building robust, stable, and secure software that unlocks meaningful business outcomes.​

What You’ll Do

Lead the design and development of backend systems and RESTful microservices in Python 3 and / or Java, with production-grade quality, security, and observability.

Architect scalable, resilient, cloud-native services on Azure; optimize cost, performance, and deployment workflows.

Integrate and productize LLM / AI services (Azure OpenAI and allied technologies) into core business workflows for automation, insights, and decision support.

Own API contracts, performance SLAs, and reliability across services; drive excellence in testing, CI / CD, logging, and metrics.

Guide a small team of backend engineers through planning, code reviews, pairing, and mentoring; set engineering standards and best practices.

Collaborate cross-functionally with product, data science, and frontend teams to deliver customer-centric outcomes with iterative, agile delivery.

Ensure data privacy, security controls, and compliance-minded engineering across services and data flows.

Troubleshoot complex production issues; lead RCAs and prevent regressions through resilient designs and runbooks.

Must-Have Qualifications

5–7 years of backend engineering experience with a track record of shipping production systems at scale.

Strong expertise in Python 3 and / or Java (Spring Boot preferred), REST API design, and microservices architecture.

Experience deploying and operating services on Azure (App Services, AKS, Functions, API Management, Storage, monitoring).

Hands-on experience integrating LLMs / AI services (preferably Azure OpenAI) into backend applications.

Solid understanding of system design, distributed systems, fault tolerance, caching, message queues, and API security.

Proficiency with relational databases (e.g., PostgreSQL) and one or more of : Redis, Kafka / Service Bus, Elasticsearch.

Strong DevOps and automation mindset : CI / CD (GitHub Actions / Azure DevOps), infrastructure as code, containerization (Docker / Kubernetes), observability (metrics, logging, tracing).

Proven ability to lead and mentor engineers, drive execution, and uphold engineering quality.

Self-driven, ownership-oriented, with excellent communication and stakeholder collaboration skills.

Good-to-Have

Experience with event-driven architectures, idempotency, and exactly-once / at-least-once processing guarantees.

Familiarity with healthcare data workflows (e.g., payers, EDI, claims), data privacy, and compliance-minded development.

Experience with graph or vector databases, search, or policy / rules engines.

Performance engineering : profiling, load testing, capacity planning.

Security best practices : OAuth2 / OIDC, secrets management, key rotation, vulnerability management.

How You Work

Customer-centric : translate business needs into reliable, scalable systems that deliver measurable outcomes.​

Agile and iterative : comfortable with rapid iteration, incremental delivery, and continuous improvement.​

Collaborative and open : values cross-disciplinary teamwork and transparent communication.​

Quality-obsessed : builds robust, stable, and secure services with strong test coverage and operational excellence.​

Location

Hyderabad, India (on-site / hybrid as per team policy).

Compensation

Competitive and commensurate with experience, with opportunities to grow in a fast-moving healthcare AI environment.