{"id":3141404,"url":"https://alion.io/job/hilabs-engineering-manager-distributed-systems","title":"Engineering Manager - Distributed Systems","company":{"id":3328,"name":"HiLabs","domain":"hilabs.com","url":"https://alion.io/company/hilabs","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":null,"truth_index":null},"role":"Leadership","role_family":"Leadership","seniority":"lead","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":29000,"max_usd":76000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":35},"experience_years_min":8,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AWS","optional":true},{"name":"Azure","optional":true},{"name":"CI/CD","optional":true},{"name":"Docker","optional":true},{"name":"GCP","optional":true},{"name":"Go","optional":true},{"name":"Incident Management","optional":true},{"name":"Java","optional":true},{"name":"Kubernetes","optional":true},{"name":"Python","optional":true}],"status":"live","first_seen_at":"2026-10-23T05:03:35Z","employer_posted_date":null,"last_verified_at":"2026-10-23T05:03:35Z","board_verified":false,"closed_at":null,"days_open":5,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":5},"description":"Job Description : \n\nWe are looking for an experienced Engineering Manager to lead engineering teams in designing, developing, and delivering scalable, reliable, and high-quality software solutions. The role involves driving technical execution, mentoring engineers, collaborating with product and data science teams, and ensuring timely delivery of business-critical product capabilities. The ideal candidate will combine strong software engineering fundamentals with people leadership, architectural judgment, and a hands-on approach to solving complex technical problems. Experience building data-intensive applications, AI-powered products, or enterprise platforms is highly desirable.\n\nThe core responsibilities for the job include the following : \n\nEngineering Leadership and Team Management : \n\n- Lead, mentor, and develop a team of software engineers, fostering a culture of ownership, collaboration, innovation, and continuous improvement.\n\n- Establish clear goals, engineering priorities, and delivery expectations aligned with business objectives.\n\n- Conduct performance reviews, provide regular feedback, and support career development and technical growth.\n\n- Build a high-performing engineering team through effective hiring, onboarding, coaching, and retention practices.\n\n- Promote engineering best practices, accountability, and a strong quality mindset.\n\nTechnical Strategy and Architecture : \n\n- Drive the design and development of scalable, secure, maintainable, and high-performance software systems.\n\n- Guide architectural decisions, technology selection, code quality, and engineering standards.\n\n- Review technical designs and ensure solutions align with long-term product and platform objectives.\n\n- Identify technical debt, performance bottlenecks, and system reliability issues, and drive appropriate remediation.\n\n- Stay current with emerging technologies and evaluate opportunities to improve engineering efficiency and product capabilities.\n\nProduct Development and Delivery : \n\n- Partner closely with Product Management, Data Science, Data Engineering, and other stakeholders to translate business requirements into technical solutions.\n\n- Own engineering delivery across planning, development, testing, deployment, and production support.\n\n- Break down complex initiatives into achievable milestones and manage dependencies, risks, and competing priorities.\n\n- Ensure predictable delivery while maintaining high standards of code quality, testing, performance, and reliability.\n\n- Track engineering metrics and continuously improve development processes, release cycles, and team productivity.\n\nSoftware Engineering Excellence : \n\n- Oversee the development of backend services, APIs, distributed systems, and data-intensive applications.\n\n- Promote best practices in code reviews, automated testing, CI/CD, observability, and production monitoring.\n\n- Drive system scalability, availability, security, and performance optimization.\n\n- Establish effective incident management and root-cause analysis practices.\n\n- Encourage automation and continuous improvement across the software development lifecycle.\n\nCross-Functional Collaboration : \n\n- Work with product and business stakeholders to define technical roadmaps and prioritize engineering investments.\n\n- Collaborate with AI/ML and Data Engineering teams to integrate intelligent capabilities into enterprise products.\n\n- Communicate engineering progress, risks, and trade-offs clearly to senior leadership and relevant stakeholders.\n\n- Align engineering execution with customer requirements, business priorities, and product strategy.\n\nKey Success Metrics : \n\n- Consistent and predictable delivery of engineering commitments.\n\n- Improved product quality, system reliability, and application performance.\n\n- Effective team development, retention, and engineering productivity.\n\n- Reduction in technical debt and recurring production issues.\n\n- Improved collaboration between engineering, product, AI/ML, and data teams.\n\n- Successful delivery of scalable product capabilities aligned with customer and business needs.\n\nRequirements : \n\n- Bachelor's or master's degree in computer science, engineering, or a related technical field.\n\n- 8+ years of experience in software engineering, with relevant experience managing or leading engineering teams.\n\n- Strong programming experience in languages such as Python, Java, Go, or similar.\n\n- Solid understanding of data structures, algorithms, object-oriented design, and software engineering principles.\n\n- Experience designing and developing scalable backend systems, APIs, microservices, and distributed applications.\n\n- Experience with relational and/or NoSQL databases and data-intensive systems.\n\n- Strong understanding of cloud infrastructure, CI/CD, automated testing, and production deployment practices.\n\n- Demonstrated ability to manage engineering delivery, resolve technical challenges, and develop engineering talent.\n\n- Excellent communication, stakeholder management, and problem-solving skills.\n\n- A strong engineering leader with sound technical judgment and a hands-on problem-solving mindset.\n\n- Someone who can balance people management, architecture, and delivery execution.\n\n- A leader who encourages ownership, accountability, and continuous learning.\n\n- The ability to navigate ambiguity, manage competing priorities, and deliver results in a fast-paced product environment.\n\nPreferred Qualifications : \n\n- Experience building enterprise SaaS platforms or AI/ML-powered products.\n\n- Exposure to healthcare technology, healthcare data, claims processing, or data quality solutions.\n\n- Experience with AWS, Azure, or GCP, along with containerization and orchestration technologies such as Docker and Kubernetes.\n\n- Familiarity with data engineering frameworks, large-scale data processing, or distributed computing.\n\n- Experience with observability, reliability engineering, performance optimization, and production systems.\n\n- Experience scaling engineering teams, improving development processes, and driving technical transformation.\nSkills\nEngineering Management, Distributed Systems, Python, Java, Golang, Data Structure, Algorithm, Microservices Architecture, 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