{"id":4307448,"url":"https://alion.io/job/ukg-staff-software-engineer-eng-2","title":"Staff Software Engineer - Eng","company":{"id":1758293,"name":"UKG","domain":"ukg.com","url":"https://alion.io/company/ukg-com","size_band":"201-500","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":"staff","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Noida, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":8,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"GCP","optional":false},{"name":"Grafana","optional":false},{"name":"Hazelcast","optional":false},{"name":"Java","optional":false},{"name":"Kibana","optional":false},{"name":"OpenTelemetry","optional":false},{"name":"Python","optional":false},{"name":"Redis","optional":false},{"name":"SQL","optional":false},{"name":"CI/CD","optional":true}],"status":"live","first_seen_at":"2026-11-14T08:54:19Z","employer_posted_date":null,"last_verified_at":"2026-11-14T08:54:19Z","board_verified":false,"closed_at":null,"days_open":0,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":0},"description":"We are seeking a highly motivated Staff Software Engineer to join our engineering team focused on building scalable, reliable, and secure payroll and compliance solutions. This role provides the opportunity to work on highly distributed systems and business-critical platforms that support payroll processing, compliance workflows, and enterprise-scale applications.\n\nAs a Staff Software Engineer, you will lead the design and delivery of complex technical solutions while driving engineering excellence across the software development lifecycle. We are looking for an engineer with an AI-first mindset who embraces unified engineering practices and takes end-to-end ownership from requirements through production operations.\n\nYou will collaborate closely with engineering, product, architecture, compliance, and operations teams to build secure, resilient, and highly observable systems while mentoring engineers and influencing technical direction across the organization.\n\nResponsibilities:\nLead the design, development, and delivery of complex software solutions supporting payroll, compliance, and enterprise applications.\nDrive technical design discussions and influence architectural decisions that improve scalability, maintainability, security, and performance.\nEvaluate technology choices, identify technical risks, and recommend solutions aligned with business objectives.\nPartner with architects and senior engineering leaders to evolve platform capabilities and engineering standards.\nDesign and develop scalable backend APIs, distributed systems, and cloud-native services.\nDeliver high-quality, maintainable, and testable software using modern engineering practices.\nDrive performance optimization initiatives across services, APIs, and data processing workflows.\nContribute to modernization efforts that improve system reliability, developer productivity, and operational efficiency.\nChampion AI-assisted software development practices across the team.\nUtilize AI tools to accelerate requirements analysis, design reviews, code generation, testing, documentation, troubleshooting, and operational workflows.\nMentor engineers on effective and responsible use of AI throughout the SDLC.\nIdentify opportunities to improve engineering productivity through automation and AI-enabled workflows.\nLead production incident response, root cause analysis, and long-term corrective actions.\nDrive improvements in observability, telemetry, monitoring, alerting, and service health.\nEstablish operational excellence practices that improve system resiliency and reduce customer impact.\nPartner with SRE and platform teams to improve service reliability and operational maturity.\nEnsure applications adhere to secure coding practices and compliance requirements.\nDrive secure handling of payroll, tax, financial, and personally identifiable information (PII).\nAdvocate for auditability, data governance, and security-by-design principles throughout the development lifecycle.\nMentor and coach engineers through design reviews, code reviews, pair programming, and technical guidance.\nPromote engineering best practices related to testing, observability, maintainability, and operational ownership.\nRaise the technical bar across the team through continuous improvement initiatives and knowledge sharing.\nTake end-to-end ownership across requirements, design, development, testing, deployment, monitoring, and production support.\nLead small to medium-sized projects and coordinate technical efforts across multiple contributors.\nCollaborate effectively with product management, compliance teams, customer support, and other engineering teams to deliver customer-focused solutions.\n\nMinimum Qualifications:\nBachelor's degree in Computer Science, Engineering, or related technical field.\n8+ years of professional software engineering experience.\nStrong expertise in Java and/or Python development.\nProven experience designing and delivering scalable backend services, APIs, and distributed systems.\nStrong SQL and data modeling experience.\nHands-on experience with cloud platforms such as GCP, AWS, or Azure.\nExperience with distributed caching technologies such as Redis and/or Hazelcast.\nStrong experience with observability platforms including Grafana, Kibana, OpenTelemetry, or similar technologies.\nDemonstrated ability to lead complex technical initiatives from design through production.\nProven experience troubleshooting and resolving complex production issues.\nStrong understanding of secure software development and handling of sensitive customer data.\nDemonstrated AI-first engineering mindset with hands-on use of AI-assisted development tools and workflows.\nStrong ownership mentality as a unified engineer with experience operating services throughout the full SDLC.\nExcellent communication, collaboration, and technical leadership skills.\n\nPreferred Qualifications:\nExperience in payroll, tax, HR, fintech, compliance, or other highly regulated domains.\nUnderstanding of U.S. and/or Canadian payroll processing concepts.\nExperience with high-volume transaction processing systems.\nExperience designing cloud-native microservices architectures.\nKnowledge of CI/CD, Infrastructure as Code, and modern DevOps practices.\nExperience leading technical initiatives across multiple teams.\nExperience establishing observability and operational excellence standards.\nExperience driving adoption of AI-assisted engineering practices within development teams.\nDemonstrated ability to influence technical direction and engineering best practices beyond immediate team boundaries.\nSkills\nAWS, Azure, Distributed Systems, GCP, Java, Python","description_format":"text","description_chars":5635,"description_truncated":false,"requirements":{"experience_years_min":8,"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":["Government","Professional Services","Human Resources","HR & Payroll Software"],"lifecycle":[{"event":"open","at":"2026-11-14T08:54:19Z"}],"visa":[],"liveness":{"score":86,"band":"hot","label":"Hiring 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