{"id":1225597,"url":"https://alion.io/job/technoidentity-principal-lead-developer-backend-developer","title":"Principal Lead Developer - Backend Developer","company":{"id":810449,"name":"TechnoIdentity","domain":"technoidentity.com","url":"https://alion.io/company/technoidentity","size_band":"1-10","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":null,"truth_index":null},"role":"Backend","role_family":"Backend","seniority":"lead","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Hyderabad, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":25000,"max_usd":55000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":51},"experience_years_min":6,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"Human-in-the-Loop","optional":false},{"name":"Java","optional":false},{"name":"LLM Guardrails","optional":false},{"name":"Python","optional":false},{"name":"Rest API","optional":false},{"name":"TypeScript","optional":false},{"name":"Airflow","optional":true},{"name":"Apache Kafka","optional":true},{"name":"AWS","optional":true},{"name":"AWS Step Functions","optional":true},{"name":"Azure","optional":true},{"name":"CI/CD","optional":true},{"name":"Docker","optional":true},{"name":"Function Calling","optional":true},{"name":"GCP","optional":true},{"name":"Go","optional":true},{"name":"Kubernetes","optional":true},{"name":"Model Context Protocol","optional":true},{"name":"RabbitMQ","optional":true},{"name":"RAG","optional":true},{"name":"Spring Boot","optional":true},{"name":"Tool Use","optional":true}],"status":"live","first_seen_at":"2026-09-25T09:01:16Z","employer_posted_date":null,"last_verified_at":"2026-09-25T09:01:16Z","board_verified":false,"closed_at":null,"days_open":4,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":4},"description":"Supercharge Your Career as a Principal Lead Developer at Technoidentity!\nAt Technoidentity, we're a Data & AI product engineering company with over 15 years of expertise in building durable digital products, intelligent enterprise solutions, and scalable Data & AI platforms. As we continue expanding globally, it's the perfect time to join our team of tech innovators and make a lasting impact.\n\nWhat’s in it for You?\nTechnoidentity is building a high-impact Temporal Capability Center to design, deliver, and scale resilient workflow-orchestration solutions for enterprise customers. We are seeking a hands-on, technically strong Principal Lead Developer who combines deep software-engineering expertise with solution-architecture leadership, distributed-systems knowledge, and an ownership mindset.\nThis role is suited to a resourceful engineer who can independently take multi-faceted business and technical requirements from discovery through design, implementation, rollout, and operational improvement. You will work directly with overseas clients, shape architecture decisions, lead multiple technical workstreams, and mentor junior developers while remaining actively involved in code, design reviews, and delivery.\nThe ideal candidate has strong practical experience in Python, Java, and/or TypeScript, has experience with Cloud Platforms, understands modern AI-assisted engineering practices. Experience with distributed workflow solutions using orchestration platforms such as Temporal, Cadence, Camunda, or similar technologies will be preferred, but is not a requirement.\n\nRequirements\nWhat Will You Be Doing?\nLead the end-to-end technical delivery of workflow-orchestration and distributed-systems solutions for enterprise clients.\nDesign robust, scalable, secure, and observable architectures using durable execution, asynchronous messaging, APIs, event-driven patterns, and cloud-native components.\nBuild production-grade services and workflow implementations using Python, Java, and/or TypeScript.\nDesign and implement long-running business processes using orchestration frameworks such as Temporal, Cadence, Camunda, or equivalent platforms.\nApply distributed-systems principles to address reliability, idempotency, retries, timeouts, compensating transactions, eventual consistency, failure recovery, and data consistency.\nDesign and implement Saga patterns, including orchestration-based and choreography-based approaches, for multi-service business transactions.\nLead architecture discovery sessions, technical workshops, solution presentations, and design reviews with overseas clients and internal stakeholders.\nTranslate business requirements into clear solution architectures, implementation plans, technical specifications, estimates, and delivery milestones.\nDrive multiple concurrent technical streams, identify dependencies and risks early, and maintain delivery quality under changing priorities.\nEstablish engineering standards for workflow design, API contracts, error handling, versioning, testing, deployment, observability, and operational readiness.\nUse AI-assisted SDLC practices responsibly to improve developer productivity, code quality, test coverage, documentation, and delivery velocity.\nDesign and contribute to agentic orchestration solutions, including coordination of AI agents, tool/API integrations, workflow state management, guardrails, human-in-the-loop controls, and evaluation approaches where relevant.\nPerform hands-on development of critical components, prototypes, integrations, and reference implementations.\nConduct code reviews and architectural reviews, ensuring solutions are maintainable, performant, secure, and aligned with engineering best practices.\nMentor and guide junior developers; support technical growth through pairing, reviews, reusable patterns, technical sessions, and constructive feedback.\nCollaborate with delivery, product, platform, QA, DevOps, security, and client teams to ensure successful implementation and production adoption.\nContribute reusable assets, accelerators, templates, documentation, and best practices to the Temporal Capability Center.\n\nBenefits\nWhat Makes You the Perfect Fit?\nBachelor’s or Master’s degree in Computer Science, Engineering, or a related technical discipline, with 6+ years of relevant work experience.\nSignificant professional software-development experience, including experience leading technical delivery and mentoring engineering teams.\nStrong hands-on proficiency in at least one of the following languages:\no Python\no Java\no TypeScript\nDemonstrated experience designing and building distributed, scalable, highly available, or event-driven systems.\nStrong understanding of microservices architecture, REST and/or asynchronous APIs, message-driven systems, and integration patterns.\nPractical expertise with distributed-systems concerns, including:\no Idempotency and duplicate-message handling\no Retries, backoff, timeouts, and circuit-breaking strategies\no Failure handling and recovery\no Eventual consistency and data synchronization\no State management for long-running processes\no Observability, logging, metrics, tracing, and operational debugging\nStrong understanding and practical application of the Saga pattern and compensating-transaction design.\nExperience designing solution architectures and communicating technical trade-offs to both engineering and business stakeholders.\nAbility to lead junior developers through technical direction, task decomposition, code review, and mentorship.\nStrong written and verbal communication skills in English.\nHigh ownership, self-motivation, adaptability, and the ability to make sound decisions in ambiguous and fast-moving environments.\nPreferred Qualifications\nProduction experience with Temporal, Cadence, Camunda, AWS Step Functions, Azure Durable Functions, Netflix Conductor, Apache Airflow, or comparable orchestration technologies..\nExperience migrating from legacy schedulers, BPM platforms, or synchronous microservice flows to durable workflow orchestration.\nExperience building agentic or AI-enabled applications using LLMs, tool calling, agent frameworks, retrieval-augmented generation, MCP, guardrails, or evaluation frameworks.\nPractical use of AI coding assistants and AI-aided SDLC workflows for planning, implementation, testing, code review, documentation, and troubleshooting.\nCloud-native development experience on AWS, Azure, Google Cloud Platform, or a hybrid-cloud environment.\nExperience with Kubernetes, Docker, CI/CD pipelines, Infrastructure as Code, and container-based deployments.\nExperience with event-streaming and messaging platforms such as Kafka, RabbitMQ, cloud queues, or pub/sub systems.\nExperience with relational and NoSQL databases, data-modeling strategies, and transactional/outbox patterns.\nExperience with API gateways, security controls, OAuth/OIDC, secrets management, and secure service-to-service communication.\nFamiliarity with domain-driven design, event sourcing, CQRS, and enterprise integration patterns.\nExperience in technical consulting, pre-sales support, solution accelerators, or client-facing technical leadership.\nLeadership Expectations\nAs a Principal Lead Developer, you will be expected to:\nAct as a trusted technical advisor to clients and internal delivery teams.\nBalance architecture leadership with hands-on engineering execution.\nProactively identify problems, propose practical solutions, and drive them to completion without waiting for detailed direction.\nManage and prioritize several workstreams while communicating progress, risks, decisions, and dependencies clearly.\nRaise engineering quality through reusable standards, design patterns, code reviews, and mentoring.\nBuild confidence with clients through technical depth, clarity, responsiveness, and reliable delivery.\nFoster a collaborative, accountable, learning-oriented engineering culture within the Temporal Capability Center.\nSuccess Measures\nSuccess in this role will be measured by:\nDelivery of reliable, scalable, and maintainable orchestration solutions that solve real client problems.\nQuality of solution architecture, code, technical documentation, and operational readiness.\nEffective application of workflow-orchestration and Saga patterns to complex distributed business processes.\nAbility to independently lead client-facing technical discussions and turn them into executable delivery plans.\nDelivery predictability across multiple concurrent technical initiatives.\nMeasurable improvement in engineering productivity and quality through AI-assisted SDLC practices.\nGrowth, engagement, and technical effectiveness of junior developers under your guidance.\nContribution of reusable Temporal Capability Center assets, reference architectures, and best practices.\nWhy Join Technoidentity’s Temporal Capability Center?\nWork on complex, high-value enterprise workflow and distributed-systems challenges.\nHelp shape a specialized capability center focused on durable execution, orchestration, AI-enabled delivery, and modern architecture.\nCollaborate with overseas clients and multidisciplinary global teams.\nInfluence technical standards, reusable accelerators, and the future direction of orchestration solutions at Technoidentity.\nTake on a role with meaningful architecture ownership, technical leadership, and hands-on engineering impact.\n\nSkills\nJava, Python, Go Programming (Golang), Microservices, Systems design, Spring Boot","description_format":"text","description_chars":9452,"description_truncated":false,"requirements":{"experience_years_min":6,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Digital Government","Mobile App Development Services","Custom Software Development"],"lifecycle":[{"event":"open","at":"2026-09-25T13:06:44Z"}],"liveness":{"score":90,"band":"hot","label":"Hiring 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