{"id":1230640,"url":"https://alion.io/job/blitzy-forward-deployed-software-engineer","title":"Forward Deployed Software Engineer","company":{"id":178299,"name":"Blitzy","domain":"blitzy.com","url":"https://alion.io/company/blitzy","size_band":"501-1000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Ashby","truth_index":{"grade":"B","score":75,"open_postings":3,"ghost_share":0,"stale_share":1,"repost_share":0,"time_to_fill_p50_days":null,"computed_at":"2026-10-14T06:34:16Z"}},"role":"Solutions","role_family":"Solutions","seniority":"staff","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Pune, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":6500000,"max":8000000,"currency":"INR","period":"year","gross":true,"usd_annual":83856},"salary_estimate":null,"experience_years_min":10,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agile","optional":false},{"name":"Apache Kafka","optional":false},{"name":"CI/CD","optional":false},{"name":"Docker","optional":false},{"name":"Edge AI","optional":false},{"name":"Git","optional":false},{"name":"Hibernate","optional":false},{"name":"Java","optional":false},{"name":"JMeter","optional":false},{"name":"JUnit","optional":false},{"name":"Liquibase","optional":false},{"name":"Logback","optional":false},{"name":"Maven","optional":false},{"name":"PostgreSQL","optional":false},{"name":"Rest API","optional":false},{"name":"Scrum","optional":false},{"name":"SLF4J","optional":false},{"name":"SonarQube","optional":false},{"name":"Spring Boot","optional":false},{"name":"Spring Data JPA","optional":false},{"name":"Spring MVC","optional":false},{"name":"Spring Security","optional":false},{"name":"Swagger","optional":false},{"name":"Dynatrace","optional":true},{"name":"Micrometer","optional":true}],"status":"live","first_seen_at":"2026-09-18T04:23:34Z","employer_posted_date":null,"last_verified_at":"2026-09-18T04:23:34Z","board_verified":false,"closed_at":null,"days_open":26,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":26},"description":"About the Role:\n\nBlitzy is looking for a Forward Deployed Engineer to join our Pune HQ2 team and work at the intersection of cutting-edge AI and complex enterprise software. You'll embed directly with customer engineering teams, writing production code, architecting solutions, and helping customers transform how they build software with Blitzy.\n\nThis is a hands-on engineering role for someone who thrives in ambiguous environments and is comfortable debugging integrations, building Java/Spring Boot services, participating in sprint planning, or whiteboarding architecture with a CTO.\n\nResponsibilities:\n\n- Deploy Blitzy into complex enterprise environments, navigating technical constraints and translating customer business goals into practical technical solutions.\n\n- Embed with customer teams during critical implementations, partnering with engineering leaders on sprint planning, architecture reviews, technical decisions, and production deployments.\n\n- Build production-quality integrations, services, and extensions using Java 17 and Spring Boot 3.x.\n\n- Build and evolve REST APIs using a contract-first approach with OpenAPI/Swagger, with data persistence through PostgreSQL, Hibernate/JPA, and Liquibase.\n\n- Package and deploy containerized services with Docker and manage dependencies through Maven.\n\n- Develop custom solutions, reusable patterns, scripts, and tools that accelerate customer adoption.\n\n- Debug complex issues spanning customer infrastructure, integrations, microservices, and the Blitzy platform.\n\n- Drive successful POCs and technical demonstrations that showcase advanced use cases.\n\n- Maintain high standards for testing, code quality, performance, and observability using JUnit 5, Cucumber/Gherkin, JMeter, Git, Logback/SLF4J, SpotBugs, and SonarQube.\n\n- Identify recurring customer needs and technical patterns that inform product priorities.\n\n- Collaborate with product and engineering teams to translate field experience into platform improvements.\n\nTech Stack:\n\n- Java 17, Spring Boot 3.x, Spring MVC, Spring Data JPA, Spring Security, Hibernate/JPA, Actuator.\n\n- REST APIs, OpenAPI/Swagger, PostgreSQL, Liquibase, Maven, Docker.\n\n- JUnit 5, Cucumber/Gherkin, JMeter, Git, Logback/SLF4J, SpotBugs, SonarQube, Micrometer, Dynatrace.\n\nQualifications:\n\n- 10+ years of software engineering experience and currently a Lead SWE, Software Architect, or Forward Deployed Engineer.\n\n- Deep hands-on expertise with Java 17, Spring Boot 3.x, Spring MVC, Spring Data JPA, Spring Security, Hibernate/JPA, and Actuator.\n\n- Strong experience with REST APIs, OpenAPI/Swagger, PostgreSQL, Liquibase, Maven, Docker, and modern testing practices.\n\n- Experience building and operating microservices with CI/CD, cloud architecture, observability, and production monitoring.\n\n- Knowledge of enterprise modernization and distributed systems (Kafka, Avro, Schema Registry, caching, resilience patterns).\n\n- Strong understanding of Agile/Scrum and ability to communicate complex technical concepts to audiences ranging from interns to CTOs.\n\n- Passion for AI-powered software development and 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