Associate Site Reliability and Forward Deployed Engineer

Participate in production incident triage, mitigation, recovery, and follow-up activities under the guidance of experienced engineers.

Contribute evidence, technical findings, and follow-up actions to root cause analyses (RCAs).

Investigate and resolve well-scoped production defects and field-reported issues, escalating complex or high-risk problems appropriately.

Collaborate with Engineering, Data, Customer Success, and Support teams during customer-impacting incidents and escalations.

Maintain and improve runbooks, troubleshooting guides, monitoring, alerting, and operational checklists.

Support customer deployments, integrations, and production troubleshooting alongside senior or customer-facing engineers.

Write and maintain Python scripts or small services that automate repeatable operational workflows, improve observability, and reduce manual toil.

Use established tools and procedures to support AWS- and Databricks-based production systems, including basic performance, data quality, and job-failure investigations.

Document incident learnings and customer issues, and help convert recurring patterns into reusable tools, knowledge articles, and product improvement suggestions.

Participate in an on-call or shift-based support rotation after completing the required onboarding and readiness training.

2-4 years of professional experience in software engineering, site reliability engineering, technical support, production operations, data engineering, or a related field. Relevant internships, academic projects, or hands-on technical training may be considered.

Understanding of cloud computing and interest in supporting production systems in AWS.

Basic Python programming skills and the ability to read, troubleshoot, and modify existing scripts or services.

Familiarity with Linux command-line tools, logs, APIs, or SQL-based troubleshooting.

Basic understanding of incident response, root cause analysis, monitoring, alerting, and observability concepts.

Awareness of distributed systems, CI/CD pipelines, source control, and Infrastructure as Code concepts.

Clear written and verbal communication, including the ability to document findings and provide timely status updates.

A structured troubleshooting mindset, attention to detail, and willingness to ask for help or escalate when appropriate.

Ability to take ownership of assigned tasks through resolution with coaching and guidance.

Curiosity, adaptability, and a strong interest in learning production reliability and customer-facing engineering practices.

Bachelors Degree in engineering or related field.

Internship, project, or work experience in a cloud, data, DevOps, technical support, or production operations environment.

Exposure to Databricks, Spark, Snowflake, data pipelines, or other data platforms and warehouses.

Familiarity with Kubernetes or EKS, EMR, Lambda, Terraform, or similar infrastructure technologies.

Experience using ticketing, monitoring, logging, or incident management tools.

Exposure to healthcare, regulated data, or security-conscious environments.

Experience participating in an on-call, lab-support, service-desk, or operational support rotation.

Customer-facing, consulting, implementation, or technical communication experience.

Competitive Leave & Benefits

Comprehensive health coverage

Equity for every employee – share in our success

Growth-focused environment – your development matters here

Standard hours: 9 hours/day, 5 days/week

Location: Pune, 5 Days from the office

Shift: Your standard working hours will be nine (9) hours per day within the Company’s standard working hours. Specific working hours may vary based on business needs.

Our Commitment as an Equal Opportunity Employer

As a mission-led technology company helping to drive better healthcare outcomes, Abacus Insights believes that the best innovation and value we can bring to our customers comes from diverse ideas, thoughts, experiences, and perspectives. Therefore, we dedicate resources to building diverse teams and providing equal employment opportunities to all applicants. Abacus prohibits discrimination and harassment regarding race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws.

At the heart of who we are is a commitment to continuously and intentionally building an inclusive culture—one that empowers every team member across the globe to do their best work and bring their authentic selves. We carry that same commitment into our hiring process, aiming to create an interview experience where you feel comfortable and confident showcasing your strengths. If there’s anything we can do to support that—big or small—please let us know.

AI Use in Recruitment

We use AI-powered tools throughout our recruitment process. This includes Greenhouse's Real Talent Matching Technology, which helps prioritize applications based on job-related criteria, as well as additional AI tools used to support sourcing, interview preparation, and other recruiting tasks. We do not remove the human element—our recruiters and hiring teams review all applications and make all decisions related to candidate progression and hiring, regardless of which tools are used to support that process.

By applying, you acknowledge that we will collect and process your personal information for recruiting purposes in accordance with applicable data protection laws. Please review our Applicant Privacy Notice for more information, including your rights.